WO2012175542A1

WO2012175542A1 - Method and device for creating a document reference data set on the basis of a document

Info

Publication number: WO2012175542A1
Application number: PCT/EP2012/061800
Authority: WO
Inventors: Andreas Wolf; Olaf Dressel; Uwe Rabeler
Original assignee: Bundesdruckerei Gmbh
Priority date: 2011-06-21
Filing date: 2012-06-20
Publication date: 2012-12-27
Also published as: DE102011077895A1; EP2724323B1; EP2724323A1

Abstract

The invention relates to a method for creating a document reference data set (109) for a document, wherein the document has a first set of features and a second set of features, wherein the first set of features can be detected using a first detection method, wherein the second set of features can be detected using a second detection method. The method comprises the following features: detecting (101) the first set of features using the first detection method in order to obtain a first feature reference set (102), detecting (103) the second set of features using the second detection method in order to obtain a second feature reference set (104), linking (105) the first feature reference set (102) to page information that refers to a property of the first detection method in order to obtain a first feature reference data set (106) of the document reference data set (109), and linking (113) the second feature reference set (104) to further page information that refers to a property of the second detection method in order to obtain a second feature reference data set (108) of the document reference data set (109).

Description

Method and apparatus for creating a

Document reference record based on a document

The present invention relates to the field of document recognition. To check the authenticity of documents, such as

Identification documents, driver's licenses, motor vehicle letters, banknotes or other documents, the documents are provided with security features that include one or more feature sets. An example of such feature sets are optically detectable structures.

To verify the authenticity of a document, at least one feature set is detected by means of a detection device, for example a document reader, and evaluated if necessary using previously known reference data. The

However, evaluation results may differ from the detection properties, such as

Resolution, depend on the document reader. For this reason, reference data are used for the evaluation of the detected feature set, which are usually adapted to the document readers to be used, for example in the resolution. For this purpose, however, the reference data must have been recorded either with the same document reader or with a document reader of the same or higher resolution. However, this approach is complex and not flexible due to the coupling of the document readers to the reference data.

It is therefore the object of the present invention to provide a more flexible concept for

Checking the authenticity of a document.

This object is solved by the features of the independent claims. Advantageous forms of further education are the subject of the dependent claims.

The present invention is based on the finding that a more flexible concept for recognizing the authenticity of a document by decoupling the reference data from the properties used for document detection

Detection devices, such as document readers, can be realized. This decoupling can be effected by providing reference data which can be adapted to the characteristics of the respective detection device. For example, the resolution of the reference data can be reduced and adapted to the resolution of the respective detection device. In one aspect, the invention relates to a method for creating a

Document reference record based on a document, the document having a first feature set and a second feature set, wherein the first

Feature set is detectable using a first detection method, and wherein the second feature set is detectable using a second detection method, and wherein the method comprises the steps of: detecting the first feature set using the first detection method to obtain a first feature reference set; Detecting the second feature set using the second detection method to obtain a second feature reference set; Associating the first feature reference set with a page information indicative of a property of the first detection method to obtain a first feature reference data set of the document reference data set; and associating the detected second feature reference set with another

Page information indicative of a property of the second detection method to obtain a second feature reference data set of

Document Reference Record received. The document reference record thus represents the document, which may be a reference document, and therefore may be used to verify the authenticity of another document, in particular the

Document recognition, are used. In general, the document can have a plurality of different feature sets, which can each be detected by different detection methods.

A detection method that can be used to detect an optically detectable feature set is, for example, an optical detection method.

In this case, the document can be irradiated with radiation which comprises an optical wavelength range. The radiation re-emitted by the document is detected, for example, by means of a suitable detection device. The use of a single optical wavelength range may be provided. An optical one However, detection can also be based on taking a picture of the document, for example by means of a conventional digital camera.

The optical wavelength ranges are preferably different, i. she

differ in at least one wavelength. The wavelength ranges may, for example, overlap the following wavelength ranges: 1 nm to 380 nm, 380 nm to 780 nm or 780 nm to 1000 nm.

The feature sets may include, for example, different features of the document, which can be detected with different detection methods. The

Feature sets can be, for example, optical, electrical, magnetic or

be detected electromagnetically. The first and second detection methods are preferably different, such that the first feature set is detectable only using the first detection method and that the second feature set is detectable only using the second detection method. If the first and the second detection method are, for example, optical detection methods, they can be used, for example, at different optical wavelengths or in

work different wavelength ranges to selectively detect the respective feature set. If the feature sets are detected, feature reference sets are produced which, for example, can be stored and processed electronically. Thus, for example, an optical sensor can convert the incoming light originating, for example, from a reemission, into at least one electrical signal which represents a feature reference set and can be stored and further processed.

In the following, reemission is understood in particular to be a re-radiation in response to an optical excitation. In particular, under Reemission is a

wavelength-preserving backscatter, as well as, alternatively or in combination, a wavelength-modifying process such as luminescence - including fluorescence and / or phosphorescence - to understand, such as Stokes, Antistokes or Raman scattering. The optical detection can also be done by means of a laser. However, the electrical signal can already be in the form of a digital

Record are available whose values are digital values, and thereby be detectable. The feature reference sets can be used as comparison reference in the recognition of the authenticity of another document. To adapt the

To allow feature reference sets to the physical characteristics of the detection means used to detect the other document, the feature reference sets are linked to a page information, each indicating at least one property of the respective detection method that provided the respective feature reference set. For example, the page information may indicate the particular resolution with which the feature reference sets were acquired. As a result, the respective feature reference set can be adapted to properties of different detection devices.

The document may be one of the following documents, with or without electronics: identity document, such as identity card, passport, access control card,

Authorization card, company card or visa; Control character or ticket; Birth certificate; Driver's license or vehicle pass; Banknote, check,

Postage stamp, other means of payment, such as bank card or credit card. The document can be single-layered or multi-layered or paper and / or plastic-based. The document may be constructed of plastic-based films, which are used in a

Card body are joined together by means of gluing and / or lamination, wherein the films preferably have similar material properties. Are the

Feature sets, for example, in the MRZ (Machine Readable Zone) of such a document, so they can be detected or recorded optically, for example by means of infrared detection or ultraviolet detection.

According to one embodiment, the first feature set and the second

Feature set is detected by means of at least one detection device, the method comprising the step of calibrating the at least one detection device to a predetermined calibration standard value, in particular to at least one of the following preset calibration standard values: optical distortion, brightness curve,

Brightness uniformity, color fidelity, optical resolution,

Modulation transfer function includes. This will normalize the

Properties of the document reference dataset used

Detecting devices causes. According to one embodiment, the first feature set and the second feature set are detectable optically, in particular on the basis of the optical reemission, wherein the first feature set with the first detection method in a first optical

Wavelength range is detected, and wherein the second feature set is detected with the second detection method in a second optical wavelength range, and wherein the first wavelength range and the second wavelength range are different and differ, for example, in one wavelength.

According to one embodiment, the first feature set and the second feature set are electrically or magnetically or electromagnetically detectable, wherein the first

Feature set with the first detection method and the second feature set with the second detection method electrically or magnetically or electromagnetically, in particular by reading from the document, are detected.

According to one embodiment, the first feature set is associated with the first

Detection method detected in an optical wavelength range and the second

Feature set with the second detection method is detected electrically or magnetically or electromagnetically, in particular by reading from the document. The wavelength range can be, for example, one of the wavelength ranges mentioned.

In the electrical detection, for example, data, in particular

encrypted data to be read from a memory of the document. The reading can be done, for example, using authenticity assurance

Communication protocols are made to enable secure communication. The electrically readable data may be, for example, digital data representing the respective feature set.

For magnetic detection, for example, magnetic properties of one of the feature sets can be detected. Such magnetic properties can be generated for example by the use of a magnetic color for the respective feature set. For electromagnetic detection, for example, radio waves can be used, which emits the document. In addition, at the

Electromagnetic detection and high-frequency characteristics of the respective

Feature set, for example, a high-frequency reflection spectrum can be detected. According to one embodiment, the page information comprises one or more of the following detection parameters: indication of the type of detection, wavelength range, magnification, acquisition resolution, acquisition color space, illumination parameter, exposure parameter, document type, detection location, acquisition time. For example, the specification of the entry type can indicate whether the

Detection of the respective feature set was made optically, electrically, magnetically or electromagnetically. The wavelength range may be, for example, one of the aforementioned optical wavelength ranges. The magnification can indicate, for example, the scale with respect to the reference document of the respective feature set has been detected or in which magnification with respect to the reference document, the respective feature reference sentence is present. The

Detection resolution can for example provide information about the optical resolution with which the respective feature set was detected. Of the

Capture color space can indicate, for example, whether it is an RGB (red, green, blue) or another capture color space. The illumination parameter indicates, for example, which illuminance has been set during an optical detection of the respective feature set. The exposure parameter can

For example, specify the exposure time with which the respective feature set was optically detected. For example, the document type may indicate whether the document is a passport, a banknote, or the like. The entry location indicates where the document was acquired or to which location or country the document is assigned. For example, the collection time may specify the time at which the document was collected. According to an embodiment, the page information further gives a property of

Document, in particular a number of document pages, an indication of the authenticity of the document, document type, document structure, printing technology, color, printed text. By specifying the authenticity of the document, it can be specified, for example, whether the recorded document is genuine or false. The properties of the

For example, documents can come from a knowledge database, which can be queried via a communications network, for example. However, according to one implementation, these properties may also be entered by a user using default templates.

According to one embodiment, the method comprises associating the first feature reference set with a first feature indication indicating at least one security property of the first feature reference set, and associating the second feature reference set with a second feature indication indicating at least one security property of the first feature reference set.

The respective feature specification can be, for example, the position or the position of the respective feature set or a feature of the feature set, the relative position of feature sets with respect to each other, reissue properties of the feature sets, the type of feature set, for example a serial number or a

specify machine-readable zone or specify other security features specific to the document and the respective feature set. This information can be used to verify the authenticity of a document under review.

According to one embodiment, the first feature reference data set and the second feature reference data set or the first feature reference set and the second feature reference set are stored in a lossless data format, in particular tagged image file format.

By using the lossless data format, it is ensured that when storing the feature reference data sets or when saving the data

Feature reference sets no or little information loss occurs.

According to one embodiment, the document reference record is in one

Reference database saved. The reference database may, for example, be reachable via a communications network, for example the Internet. In this way The recorded document reference record is electronically and location independent

Provided.

According to a further aspect, the invention relates to a method for checking the authenticity of a document using a document reference data record, wherein the document has a first feature set and a second feature set, wherein the first feature set and the second feature set by

different detection methods are detectable, wherein the

A document reference record comprising a plurality of feature reference sets, each associated with different detection methods, the method comprising the steps of: detecting the first feature set using a particular detection method; Deploy the

Document reference data set; Selecting a feature reference set associated with the particular detection method from the plurality of

Feature reference sets to obtain a selected feature reference set; and comparing the detected first feature set with the selected one

Feature reference record to verify the authenticity of the document.

For example, the document reference record may be one created by the method of creating a document reference record

Document Reference Record with the features described above and below.

According to one embodiment, the document reference record further comprises a feature indication which is a security property of the selected one

Indicates feature reference rate, and wherein the method performs a review of the detected first feature set based on the first feature specification.

According to one embodiment, the processing includes the selected one

Feature set reference to the selected feature reference set to the detected first feature set with respect to a property of the particular detection method, in particular with respect to an optical resolution or optical

Magnification or a color space of the detection method. According to one embodiment, the method further comprises reading out the

Document reference record from a reference database.

According to one embodiment, the method further comprises a selection of a

Comparison rule for comparing the detected first feature set with the selected feature reference set from a plurality of comparison rules.

According to another aspect, the invention relates to an apparatus for creating a document reference record for a document, the document having a first feature set and a second feature set, wherein the first feature set is detectable using a first detection method, the second feature set using a second detection method is detectable, and wherein the device comprises the following features: at least one

Detecting means for detecting the first feature set using the first detection method to obtain a first feature reference set, and for detecting the second feature set using the second

Detection method to obtain a second feature reference set; and a processor for associating the first feature reference set with a

Page information indicative of a property of the first detection method to obtain a first feature reference data set of the document reference data set; and for associating the detected second feature reference set with another page information related to a property of the second

Indicates a second feature reference record of the document reference record. Further features of the device for generating a document reference data record emerge directly from the features of the method for creating a document

Document reference data set.

According to one embodiment, the invention relates to a computer program for

Performing at least one of the aforementioned and subsequently described methods when the computer program is executed on a computer. Further embodiments will be described with reference to the accompanying figures. Show it:

Fig. 1 is a diagram of a method for creating a

Document reference data set according to an embodiment;

2 shows a diagram of a method for creating a reference data record according to an exemplary embodiment;

3 is a block diagram of an apparatus for creating a

Document reference data set according to an embodiment;

4 is a diagram of a method for checking the authenticity of a

Document according to an embodiment;

Fig. 5 is a diagram of a method for creating a

A document reference record and a diagram of a method for verifying the authenticity of a document based on the created document reference record according to an embodiment;

Fig. 6 is a diagram of a method for creating a

A document reference record and a diagram of a method for verifying the authenticity of a document based on the created document reference record according to an embodiment; and

Fig. 7 page information according to one embodiment.

Fig. 1 shows a diagram of a method for creating a

Document reference data set based on a document, not shown in Fig. 1, which is a reference document, according to an embodiment.

The document comprises a first feature set and a second feature set which can be detected differently, ie by means of different detection methods. The first and the second feature set can, for example, optically be detected at different optical wavelengths. An example of such an optical detection is the optical reemission in response to an optical excitation in one of the wavelength ranges 1 nm to 380 nm, 380 nm to 780 nm or 780 nm to 1, 000 nm. The different wavelength ranges, for example, the white light, the UV Light, in particular the UV-A, UV-B, UV-C or IR light set. In addition, the feature sets can be different

Recording conditions, such as in grazing or transmitted light, be detected.

However, the first feature set and the second feature set may also be detectable based on different physical detection principles. Thus, for example, the first feature set may be optically detectable in response to an optical excitation in one of the aforementioned wavelength ranges, while the second feature set may be detectable, for example, magnetically, electrically or electromagnetically. For example, the second feature set can permanently comprise magnetic particles which can be applied by means of a magnetic ink and generate a magnetic field that can be detected by a magnetic field sensor. The second feature set may also be present digitally in the form of a bit sequence stored in an electrical memory of the document, which is electrically readable. The second feature set can also be detectable electromagnetically with the aid of, for example, an RFID (RFID: Radio Frequency Identification) method.

The method includes detecting 101 the first feature set using a first detection method to obtain a first feature reference set 102. The method further comprises detecting 103 the second feature set using a second detection method to obtain a second one

Feature reference set 104. If the first and the second feature set 102, 104 are optically detectable feature sets, then they can be detected, for example, by means of an optical document reader which can operate, for example, at different wavelength ranges. The method further comprises associating 105 the first feature reference set 102 with a page information that is related to a property of the first

Detection method to obtain a first feature reference record 106 of the document reference data set. The method further comprises the Link 107 of the second feature reference set 104 with another

Page information indicative of a property of the second detection method to provide a second feature reference data set 108 of the

Document Reference Record. For example, if the first and second feature sets 102, 104 are optically at different optical wavelengths by means of one or more optical ones

Detected sensors, the respectively detected light is converted into each case an electrical signal representing the detected light and the respective

Feature reference record. The feature reference sets can therefore be present as electrical signals, for example in the form of digital bit sequences, and for example each represent an optically detected image. The same applies to the electrical, magnetic or electromagnetic detection of the respective feature set. The feature reference sets 106, 108 thus obtained can therefore be stored electrically and processed with the aid of digital signal processing, in particular with the aid of digital image signal processing.

The steps of detecting 101, 103 may be performed sequentially or simultaneously. If the document comprises more than two differently recordable feature sets, then the method illustrated in FIG

Have linking steps.

The respective page information can for example be digital, so that the

Linking the respective feature reference data set with the respective one

Side information can be made, for example, by appending the respective page information to the respective feature reference record 102, 104 to the respective

Feature reference data set 106, 108. The feature reference records 106, 108 form the document reference record 109.

The respective page information preferably indicates a physical property of the respective detection method, whereby subsequent processing of the

Feature reference sets 102, 104, for example, to adapt the

Feature reference sets 102, 104 to physical properties, for example

Resolution, a document reader used for document recognition especially easy to do. The physical properties of the respective detection method are, for example, an optical wavelength range in which the respective detection method works or in which the respective feature set of the document is detectable, a detection scale, a detection resolution, a detection color space, an illumination parameter, an exposure parameter. The page information may further include an indication of

Detection type to indicate whether the respective detection method, an optical, a magnetic, an electrical or an electromagnetic

Detection method is. The page information may further indicate a property of the document, such as a number of document pages, a document type, a physical document structure, the one used

Printing technique, color or printed text. The page information may further indicate whether the document on the basis of which the document reference record is generated is a genuine or a fake document. According to one embodiment, the method may additionally include associating 1 1 1 of the first feature reference set 102 with a first feature indication indicating at least one security property of the first feature reference set and linking 1 13 of the second feature reference set 104 with a second feature

Feature specification, which at least one security property of the second

Indicates feature reference rate include. The steps of linking 1 1 1, 1 13 may be performed in parallel with the steps of linking 105, 107, before, or after. In particular, the feature details can be present in digital form, which makes it particularly easy to digitally link the feature details with digitally present feature sets, for example by attaching them to the respective feature set.

The security properties can be, for example, those properties of the feature sets and thus also of the feature reference sets which have a

Verify the authenticity of a document. The security properties can be, for example, positions (x, y), expansions (Lx, Ly) of the respective

Specify feature set and thus also the respective feature reference sentence with respect to the document. The feature details can also specify whether the respective feature set, ie also the respective feature reference set, is a machine-verifiable feature set is. The feature specifications can also specify the optical properties of the respective feature set. These include, for example, optical reemission properties of the respective feature set at different wavelengths. The feature specification may further indicate whether the respective feature reference sentence relates, for example, to a microprint having a predetermined content. The feature details can also specify the form and / or contents of certain areas of the document, in particular the MRZ of the document. The feature specification may further include an indication as to whether the respective feature set is a tactile feature, a watermark, a see-through register, a relief, in particular a gravure relief, or a security thread with a microprint or continuous font. The feature specification may further indicate whether the feature set has been applied by means of a color which is iridescent and

for example, transparent pigments such as mica platelets. The

Feature details thus allow an assignment of the security properties of the feature sets to the detected feature reference sets in the

Feature reference data set.

Are the feature sets of the document using one or more

Detected detecting means, the method shown in Fig. 1 may include a step of calibrating 100 of the detection means or the detection means. Calibration 100 is preferably performed prior to detection 101, 103 of the respective feature set to calibrate the at least one detector to a calibration standard value. This ensures that the detectors used to create different document reference datasets always have the same physical detection characteristics, such as resolution or magnification. That way, one becomes

Decoupling of the generated document reference data record 109 from the properties of a detection device, for example a test device, which is used to verify the authenticity of a document achieved. In addition, calibration 100 generates a reproducible database of high and defined quality that includes the recognizable physical document features in the form of the feature data sets. The calibration of at least one

Detection device also allows the detection and processing of the stamped by the feature sets document properties without regard to the physical properties of, for example, later to be used document readers or test hardware. This makes it possible for the

Document reference data set 109, which may be stored, for example, in a reference database to adapt to the properties of a test hardware without the document reference record 109 must be re-captured. This procedure is advantageous because, for example, distributed by the world

Documents publishers find difficult to publish, and usually only temporary, for the creation of reference databases of document reference records, and because it is difficult to introduce a new one

Technology generation of test equipment, i. from acquisition devices to

Document capture, these documents for the creation of a

To obtain a document reference record.

An exemplary embodiment of a calibration will be described below by way of example with reference to an optical detection device.

The calibration of an optical system usually serves to check the achievement of predetermined quality values of this system or, by adjustment, to adapt its settings to such an extent that these quality values are fulfilled.

For example, a calibration of an optical system comprises a detection of a deviation of a measurement made by the system from an example of a measuring standard defined as a normal. An adjustment of the optical system may then be or include, for example, a correction of a measurement of a property of interest by means of the detected deviation. The term adjustment is to be understood in this context in general and can be both physical-technical measures, such as a relative distance and / or positional change of optical elements to each other, as well as the application of stored

Deviation data as part of a software-implemented adjustment, as well

Combinations of both. Possible properties with which it is possible to calibrate are, for example, the distortion of the image, the uniformity of the brightness, the color fidelity and the resolution or MTF (modulation transfer function). In the present context, the calibration on the one hand can ensure that captured feature reference data have a certain quality, and on the other hand determine which properties the captured images have in order to make these images normable are, ie in the knowledge of the errors of an existing document reader can be corrected to a defined state, are reproducible, ie from another document reader within the physical limits of this

Return to the same standard images, have known properties, e.g. which adjustments of the image can be made to obtain a norm image, or which parameters, such as which resolution, the image actually has, and which are transformable, i. that out of the

Normbilder images can be derived, as they are the actual recorded images of any possible, so synonymous worse recording system with a

Document reader correspond.

Moreover, optical detectors often have an aberration that translates into distortion of the image. This error can be mitigated by extended beam paths and better lenses or computationally compensated for loss of resolution. A normalized image should only be a very small one

Have distortion. Optical distortions can be measured with tools that have locations and angles of certain points and structures on the surface

object to be imaged and are compared with their properties in the image. An example of such a tool is a chart with orthogonal

Parallel droves. Equalized images are important for measuring and assessing locations, directions, and distances from and between objects in the image.

Furthermore, optical detectors often have an aberration that results in uneven brightness of the image. Frequently, such effects occur at the edges of the image. This error can be reduced by better lenses or compensated mathematically by loss of dynamics. A normalized image should have only a small inhomogeneity with respect to the illumination. The

Uniformity can be measured by means of charts having a uniform image of medium brightness. Often photo papers are used for this purpose, which are available over long periods of consistent quality. Homogenized images are important in order to be able to measure and assess the brightness and above all brightness differences of and between objects in the image. The optical sensor, the illumination and the lens of a detection device in their interaction lead to specific reproductions of colors in the image. These may differ from the reality perceived by the human eye and are regularly different from device type to device type, often also between different batches of the same device. Color fidelity measurements are usually made using charts that contain sections of a well-defined known color. One way of producing color fidelity is known white balance, where an image of an object known as "white" is corrected to "white." Color fidelity, on the other hand, is the identification and compensation of variations in color rendering of a color chart established in the industry. The processing of images from a sensor usually takes a picture of the raw data in a color space. In this

In this context, it is advantageous to ensure that it is the same color space. Color-accurate images are useful for identifying and comparing the colors of objects in the image. With regard to the resolution, it should be noted that the minimum size of objects that are actually distinguishable in an image generally deviates from the magnification, which depends on the ratio of the imaged original and the size or pixel number of the sensor. Due to physical properties of the optical system, for example, the quality of the lens, the actual resolution is smaller than the theoretically achievable by the sensor value in pixels per inch (ppi) or centimeters (ppcm). This is caused by the fact that objects below a certain size can no longer be optically "focused" and are therefore indistinguishable. The resolution will typically be different in different regions of the image, which is a standard image, i. for a reference image, which may be represented by a reference data set, is to be considered. Known aids are

Line pair templates on which horizontal or vertical bands of parallel lines of a certain distance are printed. It is preferably measured, which contrast black-white transitions have at certain line intervals. Depending on the achieved resolution are different sized objects in the

recorded image distinguishable or measurable. A normalized reference image can have at least such a large and known resolution that the smallest structures to be examined are imaged sufficiently well. Examples of such objects are microfonts. It should be noted that the achievable resolution usually may be different for white light and IR images, if not the lens is corrected over a wider spectrum than normal or a light dependent adjustment, ie

Focusing, is made.

As noted above, the detector may be calibrated, thereby ensuring that predetermined, by means of calibration standard values

standardized conditions, such as illumination homogeneity, distortion, MTF or color fidelity, are met

Comparability and reproducibility of the recorded feature sets

enable. The calibration of the detection device or the examination of the

For example, calibration may be performed periodically or periodically using defined geometric templates or color charts. In this way, it is ensured that the detected feature reference sets always have the same properties within defined deviations independently of the

Have detection time or on the characteristics of the detection devices used in each case for reference recordings.

The creation of the document reference record can, for example, under

Use of a computer program run, which is a sequence of

Defines procedural steps. Here, according to one embodiment, a

Interaction with the user take place. According to a further embodiment, the document reference record can be created automatically already during the production of a document. In the following, the former becomes representative

Embodiment explained that a user interaction and an optical

Detecting the feature sets by means of, for example, a reference recording system, which is an example of a detection device, with a camera and a

Lighting is provided.

Fig. 2 shows a diagram of a method for creating a

Document reference data set. In the step of the program start 201, a program for recording and lighting control according to a document to be recorded, such as a passport or identity card, is started by a user, for example. In this case, for example, a predetermined Detection sequence with different detection methods and optionally a predetermined combination of lighting profiles are selected.

After the program start 201, the method comprises the step of requesting the user 203 to insert the document into a detection device, for example, in a specific orientation for the purpose of detection. The user can acknowledge this process, whereby the detection 205 of the document or one or more feature sets of the document is started. Here, for example, a

Detection sequence are triggered, which includes, for example, each three shots in different optical wavelength ranges. In particular, the steps of capturing 101 and capturing 103 illustrated in FIG. 1 are described

For example, executed sequentially. It is also possible for a back of the document or for several pages of the document, the observations or

Repeat acquisition sequences. Optionally, different acquisition sequences may be provided for different pages of the document.

The method further comprises the step of data input 207, which is preferably performed after completion of the acquisition sequence. This may prompt the user to enter data. For this example, the

Feature reference sets are displayed graphically, so that the other features can be identified, for example, by a frame and associated with this, for example. Further data may include, for example, one or more page information indicative of at least one property of the at least one capture method, such as capture type, illumination and exposure parameters. The data may also include information about the country, the type of document, the number of pages of the document, the location of the recording and the

Include recording time. Further, for example, whether the document is an original or a forgery can be input. The data resulting from this step may be further processed in a file system in a unified and structured manner either as the document reference record or for further processing to create a document reference record with even more additional information in the step of further processing 209. Here, as side information and / or feature information, which one or more

Specify the security properties of the document or the recorded characteristic records be specified. In the step of processing 209, for example, the features of the document, such as the printing technique used, the micro-font or the

Using special colors examined and, for example, on the respective

Recording, which is represented by a feature reference sentence, be identified. The user is guided by the program in a structured way.

The detection of the feature sets can be done for example by machine or manually by the user. For example, during manual entry, the user can select the respective feature set and all other properties from templates. In addition, for each feature set, for example, its position (x, y), its extent (Lx, Ly), the frequency and the association with or dependence on other feature sets can be detected.

In addition to each feature set, the frequency and association with or pendency of other feature sets may be captured. Some feature sets created in the same step in production may be in the same position relative to each other. On the other hand, feature sets introduced in different steps can cause larger deviations in the relative position to each other. So z. For example, if the feature set "Serial Number" is high pressure and is not UV reactive, then that feature set will disappear on exposure to UV light. If the document has already been captured, the user may add new feature sets, but may also add old feature sets Recognize their position and characteristics and correlate the data with other documents already collected, for example of the same type, so that statements about the variance of individual feature sets can be obtained, which in turn can be incorporated into the process flow.

Feature sets that require detail capture or further physical measurements may also be marked separately. Examples of such

Feature sets are the collection of micro-typefaces and the inclusion of

micro-optical structures from special angles or with light of special properties. They can be collected as a work order at the end of the process. The data from this work order can then be maintained individually or in total. For example, the program displays to the user on request the status of the detection of the virtual document, that is to say of the document reference data record. When capturing or annotating the feature sets, the user can use templates. But he can also expand the templates and so enter further knowledge. Thus, for a characteristic such as MRZ, the known exceptions such as the number of characters or the font size can be stored. The treasure of knowledge lies u. A. in the templates. This ensures that once acquired knowledge about the properties of documents in general and for a specific document is not lost, that dependencies between different features are created and that the data acquisition always has the same quality and

provides reproducible results. The virtual document recorded in this way can be stored in a database. The virtual documents preferably always have a comparable quality and can, in addition to a use as a reference book, due to the generic description of the document characteristics, regardless of the implementation of a

Document inspection system used for its programming.

Use of the virtual document in a document testing system with a simple document reader: Such a document reader may have, for example, only a low resolution camera and only white light illumination. The data of the virtual document is transformed appropriately for this system. This means that all features that are not testable in white light or their

Inspection requires a higher resolution than the document reader offers to be removed. The remaining images can be reduced in resolution and color space of the document reader with respect to their resolution and color space. From the thus adapted data, a new reference database suitable only for this system is generated. However, it is not necessary for each new one

Document reader to take new reference pictures, which is international

Travel documents is beneficial because they are not always available. In addition, their collection is complex for the use of their properties in computer systems, the study and description of their characteristics often requires expert knowledge. For this reason, it is advantageous that once collected data for the following generations of document readers whose properties are not known today, are usable. In the case of use in a browser application, the data of the virtual document with regard to the color space to be displayed be adjusted. For non-optical data such as electronically stored data suitable visualizations can be created.

Defining defined workflows ensures that the same acquisitions, such as recordings, are always recorded for similar documents. Further, identical documents may be generated at any time after completion of the process shown in FIG. 2 for identical documents. In addition, it is possible to consider non-optical data in the acquisition processes. If the document is equipped, for example, with RFI D components, the acquisition of the electronically stored feature sets, which are available as data, and optionally the physical and protocol properties of the electronic part of the document can take place.

Fig. 3 shows a block diagram of an apparatus for creating a

Document reference record based on a document, which may be a reference document and having a plurality of feature sets, which under

Use of different detection methods are detectable. The apparatus 300 includes at least one detecting means 301 for detecting a first feature set using a first detecting method to obtain a first feature reference set and detecting a second feature set of the plurality of feature sets using a second detecting method to obtain a second feature reference set. The apparatus 300 further includes a processor 303 configured to associate the first feature reference set with a page information that corresponds to a property of the first

Indicates a first feature reference record of the document reference record. The processor 303 is further configured to associate the detected second feature reference set with another page information indicative of a property of the second detection method to obtain a second feature reference data set of the document reference data set.

The device 300 shown in FIG. 3 may be designed to implement the method described above. For this purpose, the processor 303 can be set up, for example, in terms of programming technology and the steps 105, 107, 11, and 1 shown in FIG 1 13 execute. The processor can also be designed to carry out the steps 201 - 209 shown in FIG. 2 and / or their sub-steps in order to assist a user in the case of

Support creation of the document reference record. In particular, the processor 303 may be designed, the detection device 301 accordingly

to drive so that it performs a detection sequence at, for example, different optical wavelengths for detecting the feature sets of the document. For example, the detection device 301 may be configured to perform optical detection at different wavelengths or wavelength ranges as mentioned above. The detection device 301 may also be provided to perform an electrical, magnetic or electromagnetic detection of the feature sets. According to one embodiment, the

Detection device 301 comprises a plurality of detection devices, which are each provided to perform a specific detection method, for example an optical, an electrical, a magnetic or an electromagnetic detection method.

Further features of the device 300 shown in FIG. 3 result directly from the features of the method for creating a

Document reference data set. 4 shows a diagram of a method for checking the authenticity of a

Document based on a document reference data set, which may include a plurality of feature reference sets. The document reference record may have been generated as stated above. For example, the document may include a first feature set and a second feature set that may be captured, for example, by different detection methods as described above. The method comprises detecting 401 a feature set of

Feature sets of the document, for example, the first feature set by means of a detection method, which may be, for example, optical, electrical, magnetic or electromagnetic. The detection method can by means of a

Detection device are performed.

The method further comprises providing 403 the document reference record, for example by reading from a reference database. Of the For example, a document reference record includes a plurality of

Feature reference sets, wherein a number of the feature reference sets for the

Verification of the authenticity of the document is not needed. This is the case, for example, when the document reference record has feature reference sets associated with detection methods different from the detection method used in step 401. In step 405, therefore, becomes

The feature reference set is selected from the plurality of feature reference sets associated with the detection method used in step 401. The unneeded feature sets can therefore be hidden or removed from the

Document reference record to be deleted.

Subsequently, the feature set acquired in step 401 is selected with the selected one

Feature reference set in step of comparing 407 to check the authenticity of the document. In this case, it is also possible to use page information which the document reference data record provides as described above.

The characteristics of the one used in step 401 are different

Acquisition method of the characteristics of the detection of the

Feature reference set used detection method, so are, for example, the respective resolutions different, then the selected

Feature reference set to be further processed to adapt the

selected feature reference set to the detected in step 401

Feature reference rate. In this case, for example, a resolution or a scaling of a magnification which is based on the feature reference theorem can be adapted. For this purpose, after the step of selecting 405 and before the step of comparing 407, the processing 409 of the feature reference set may be performed.

Fig. 5 illustrates the creation of a document reference record and the use of the document reference record for document identification.

For example, the document reference record is generated from a document 501 having a first feature set 503 and a second feature set 505. In step 506, the feature sets 503 and 505 become, for example, in one

Detected detection sequence using different detection methods such as described above. After that emerge

Feature reference sets 507 in the form of raw data. In step 509, the feature reference sets 507 are linked to page information and feature information, respectively, as discussed above. The page information or the feature information can be retrieved, for example, from a knowledge base 51 1. For this purpose, for example, a communication connection can be established via a communication network. After linking 509 of the feature reference sets with the page information or feature information, the document reference record is provided in step 513. In this case, the document reference data record can be stored, for example, in a reference database and retrieved, for example via a

Communication network or a distributor 515 for document recognition

to be provided. The document reference record thus created can be used, for example, for the

Document recognition using different detection devices, for example when using a document reader 517 or below

Use of a document reader 519 can be used. The document reference data set can be adapted for each of the document readers 517, 519 respectively first in the step of processing 521, 523 to the properties of each detected with the respective document reader 517, 519 feature set, whereby in each case a reference 525, 527 for the respective document reader 517, 519 for example, in a reference database. The processing of the document reference data set may include, for example, an adaptation of an optical resolution or an optical magnification or a color space to the characteristics or to the properties of the respective document reading device 517, 519. The document reference record can also be adapted in a step of processing 529 to previously known properties of at least one document reader and stored in a customer database 531. In general, in step 507, the physical

Document properties of a document by means of the detection device, which may be a measuring device, are detected. In this case, feature reference sets are detected, which can be stored from raw data in step 507, for example in a memory. In step 509, a preparation of this raw data is under

Incorporating the knowledge base 51 1, which may be a document knowledge database, to the document reference record representing a virtual document. The document reference record can thus be the

metrologically obtained data and their linking and editing include, which can be carried out using the knowledge base 51 1. According to one embodiment, no references to special purpose test tools for document recognition are included in the knowledge base.

In steps 521, 523 and 529, the document reference data record is processed and thus adapted for the respective target application. For this purpose, the data in the steps 521, 523, 529, which may be carried out by means of an adapter, on the

Properties of the respective document reader 517, 519 shown. The data of the document reference data record thus generated can be stored separately as references 525, 527 in the reference database. A use of the

Document Reference Record can also be stored without a document reader in the customer database 531 and used, for example, as a reference.

The processed feature reference sets of the document reference data record can then be used in each case for document recognition on the basis of, for example, a comparison. In the document recognition can also further

Page information that the document reference record can provide as outlined above and which may be a more accurate one

Enable document recognition. The processing of the document reference data record for the adaptation of the

Feature reference set to the properties of each used

Document reader 517, 519, for example, digitally using

Processing algorithms take place. Such processing algorithms can For example, a resolution of the respective

To reduce the feature reference set or to change a magnification. For this purpose, different algorithms can be used, which in one

Algorithm pool can be provided and retrieved to process the document reference record.

FIG. 6 shows an extension of the exemplary embodiment shown in FIG. 5 around an algorithm database 601 with, for example, a multiplicity of processing algorithms that can be used to process the document reference data record. Thus, for example, in the respective processing steps 521, 531 from the algorithm database 601, suitable ones can be provided by the customer

Algorithms are retrieved over the communication network or via the distributor 602 to properly process the document reference record. Here, a feedback 603 may be provided to, for example, the

Combine feature reference sets with other page information, which, for example, information about how the respective feature reference sentence can be processed.

For document recognition, the feature reference record, for example a stored image, can be compared with the detected feature set, for example with the image of the document currently to be recognized. At a

According to content, the data fields, for example, using the OCR method (Optical Character Recognition), read out. If there is a mismatch, another stored document reference record is advanced until a matching document reference record is found.

The document recognition can, for example, begin with the reading out of the complex and rich feature reference sets, which can be computationally adapted to the performance of a document reader used as an example for document recognition. For example, if a predetermined document reader is only capable of using white light or infrared light, with a resolution of one megapixel, i. with a lower resolution than that of

Feature reference set, so can with a software adapter the

Feature reference sets down to one megapixel. As stated above, the linking of the feature reference sets with

Page information is structured. By way of example, FIG. 7 shows a sequence of linking a feature reference set with side information or with

Feature details with exemplary annotation steps 701 to 721. In step 701, the feature reference set may be linked to a page information that is related to a document type, such as passport, ID card,

Driver's license, banknote, notes. In the following step 703 becomes

for example, the issuer of the document, for example, the Federal Republic of Germany specified. In the further step 705, the size of the document can be specified, which can be standardized to one of the variables ID1, ID2, ID3, for example. In step 705, further information about the size of the

Document.

For example, information about the surface material may be given in step 707. This information includes, for example, the substrate, the indication of whether it is a laminated security, whether it is a security, polycarbonate, banknote paper. For example, in step 709, the number of pages may be indicated, such as the total number of pages, the total number of pages without a page of data, or the number of personalized pages.

In step 71 1, information about the surface of the first page or the front can be made. This information includes the printing technique, the printed text, the

Symbols, material, color or other features. In this case, information about the surface of the first side and the back side may be given in step 713. This information may include the information from step 71 1.

Accordingly, the further steps 715, 717, 719 and 721 can be carried out, in which in each case the information explained in connection with the step 71 1 is carried out with respect to all other pages of the document.

If, for example, the method shown in FIG. 7 is carried out for a passport, then, for example, in step 707 the printing material can also be the color of the

Substrate, such as green, blue or red, can be specified. In step 709, different numbers of pages may be indicated associated with the respective color of the printing stock. It can be stated here that the passport has a total of 33 pages or that the passport comprises 26 pass pages or that the passport comprises two personalized pages. In this way, knowledge is structured in such a way as to capture knowledge of a document in such a way that, for example, it can last for a period of validity of an entire document series.

Because different documents have different testable characteristics, for example

Security features, may include a tester according to a

Embodiment be equipped with specific knowledge of these document-specific features. For example, travel documents may be required to be printed on a UV-active paper, called document paper. However, some documents may be more UV-active

Wear security features that may be located in different parts of the document. A test for the use of document paper can therefore be more accurate the more detailed the area in which the document responds to UV irradiation is detected. In addition, the applied UV pattern can also be used for an examination.

An advantage of the concept described above is that the complex and rich document reference records can be regularly updated. In addition, the respectively used

Document recognition device, as shown for example in Fig. 3, to be updated. A further advantage of the described concept is that one and the same document reference data record can be used for a plurality of different document recognition devices with different detection devices. A further advantage of the above-described concept is given by the fact that a simple detection device can also be used for document recognition because it is always possible to select that feature reference set which can also be used for document recognition. Reference numerals:

100 Calibrate

101 Capture

102 first feature reference set

103 Capture

104 second feature reference set

105 Linking

106 feature reference record

107 Linking

108 feature reference record

109 Document Reference Record

11 1 Linking

1 13 Linking

201 program start

203 Request

205 Acquisition start

207 data input

209 processing

300 device

301 detection device

303 processor

401 Capture

403 Deploy

405 Select

407 compare

409 processing

501 document

503 first feature set

505 second feature set

506 Capture

507 feature reference record

509 Linking

51 1 knowledge database 513 deployment step

515 distributor

517 document reader

519 document reader

521 Processing

523 Processing

525 reference

527 reference

529 Processing

531 customer database

601 Algorithm database

602 distributors

603 feedback

701 - 721 annotation steps

Claims

1 . A method of creating a document reference record (109) from a document, the document having a first feature set and a second feature set, the first feature set being detectable using a first capture method, the second feature set detectable using a second capture method, and wherein the method comprises the following steps:

Detecting (101) the first feature set using the first feature set

Detection method to obtain a first feature reference set (102);

Detecting (103) the second feature set using the second one

Detection method to obtain a second feature reference set (104); Concatenating (105) the first feature reference set (102) with side information indicative of a property of the first detection method to obtain a first feature reference data set (106) of the document reference data set (109); and associating (1 13) the second feature reference set (104) with another one

Page information indicative of a property of the second detection method to obtain a second feature reference data set (108) of the second

Document reference record (109).

2. The method of claim 1, wherein the first feature set and the second

Feature set are detected by at least one detection device optically, and wherein the method comprises the step of calibrating (100) of the at least one

Detection device to a predetermined calibration standard value, in particular to at least one of the following preset calibration standard values: distortion, brightness curve, brightness uniformity, color fidelity, optical resolution,

Modulation transfer function includes.

3. The method of claim 1, wherein the first feature set and the second feature set are optically detectable, in particular based on the optical reemission, wherein the first feature set is detected in a first optical wavelength range with the first detection method, and wherein the second feature set is detected with the second detection method in a second optical wavelength range, and wherein the first wavelength range and the second wavelength range are different; or the first feature set and the second feature set are electrically or magnetically or electromagnetically detectable, wherein the first feature set with the first

Detection method and wherein the second feature set with the second

Detection method electrically or magnetically or electromagnetically, in particular by reading from the document to be detected; or the first feature set with the first detection method in an optical one

Wavelength range is detected and the second feature set with the second

Detection method electrically or magnetically or electromagnetically, in particular by reading from the document, is detected.

4. The method of claim 1, wherein the side information comprises one or more of the following acquisition parameters: acquisition type, wavelength range, magnification, acquisition resolution, acquisition color space, illumination parameter, exposure parameter, document type, acquisition location,

Date and time.

5. The method according to any one of the preceding claims, wherein the page information further indicates a property of the document, in particular a number of

Document pages, an indication of the authenticity of the document, document type, physical document structure, printing technique, color, printed text.

6. The method of claim 1, further comprising associating (1 1 1) the first feature reference set (102) with a first feature specification indicating at least one security property of the first feature reference set, and linking (1 13) the second feature reference set (104) with a second feature specification, which has at least one security property of the first

Indicates feature reference rate includes.

7. The method according to any one of the preceding claims, wherein the first

The feature reference data set (102) and the second feature reference data set (104) or the first feature reference set (102) and the second feature reference set (104) are stored in a lossless data format, in particular tagged image file format.

8. A method for verifying the authenticity of a document using a document reference record, the document comprising a first feature set and a second feature set, wherein the first feature set and the second feature set are detectable by different detection methods, the document reference data set comprising a plurality of feature reference sets each associated with different detection methods, and wherein the method comprises the following steps:

Detecting (401) the first feature set by means of a particular one

Detection method;

Providing (503) the document reference record;

Selecting (405) a feature reference set corresponding to the determined one

From the plurality of feature reference sets to obtain a selected feature reference set; and

Comparing (407) the detected first feature set with the selected one

Feature reference record to verify the authenticity of the document.

The method of claim 8, wherein the document reference record comprises page information that is a property of the one selected

Indicating the feature reference set associated with the detection method, and wherein the selected feature reference set is selected on the basis of the page information.

10. The method according to claim 8, wherein the document reference data record further comprises a feature statement which has a security property of the

indicates a selected feature reference set, and wherein the method is a

Checking the first feature set based on the first feature specification includes.

1 1. The method of claim 8, 9 or 10, wherein the method comprises processing (409) the selected feature reference set to match the selected one of

Feature reference set to the first feature set with respect to a property of the particular detection method, in particular with respect to an optical resolution or an optical magnification or a color space of the

Registration procedure.

12. The method of claim 8, further comprising reading the document reference record from a reference database.

13. The method of claim 8, further comprising selecting a comparison rule to compare the first feature set with the selected feature reference set from a plurality of comparison rules.

14. A device for creating a document reference data record based on a document, wherein the document has a first feature set and a second feature set

Feature set, wherein the first feature set is detectable using a first detection method, wherein the second feature set is detectable using a second detection method, and wherein the device comprises the following features: at least one detecting means (301) for detecting the first feature set using the first registration procedure, to a first

To obtain the feature reference set, and to acquire the second feature set using the second detection method to obtain a second feature reference set; and a processor (303) for associating the first feature reference set with a page information indicative of a property of the first detection method, to obtain a first feature reference record of the document reference record, and to associate the second feature reference sentence with another page information indicative of a property of the second detection method to obtain a second feature reference record of the second reference reference record

Document Reference Record.

15. Computer program for carrying out the method according to one of claims 1 to 8 or the method according to one of claims 9 to 13, when the

Computer program is running on a computer.