WO2002015558A2 - Method and apparatus for selective processing of captured images - Google Patents
Method and apparatus for selective processing of captured images Download PDFInfo
- Publication number
- WO2002015558A2 WO2002015558A2 PCT/US2001/024464 US0124464W WO0215558A2 WO 2002015558 A2 WO2002015558 A2 WO 2002015558A2 US 0124464 W US0124464 W US 0124464W WO 0215558 A2 WO0215558 A2 WO 0215558A2
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- response
- sheet
- color
- targets
- marks
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/12—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using a selected wavelength, e.g. to sense red marks and ignore blue marks
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0032—Apparatus for automatic testing and analysing marked record carriers, used for examinations of the multiple choice answer type
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1439—Methods for optical code recognition including a method step for retrieval of the optical code
- G06K7/1447—Methods for optical code recognition including a method step for retrieval of the optical code extracting optical codes from image or text carrying said optical code
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/10—Image acquisition
- G06V10/12—Details of acquisition arrangements; Constructional details thereof
- G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
- G06V10/143—Sensing or illuminating at different wavelengths
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/22—Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/24—Aligning, centring, orientation detection or correction of the image
- G06V10/242—Aligning, centring, orientation detection or correction of the image by image rotation, e.g. by 90 degrees
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
Definitions
- This invention relates to the general field of optical scanning to collect data and digital images from documents, and within that field to the more specific field of scanning wherein the colors printed on a sheet may be selectively processed so that key marks and response targets may be. printed in the same color.
- OMR Optical Mark Recognition
- Sophisticated OMR systems also use key marks for location and orientation, including a special form of key marks known as timing tracks that indicate the scanning speed by the distance between track marks in the image.
- key marks are printed in a second ink, typically black, that highly absorbs light in the appropriate color spectrum and therefore can be recognized and processed by the optical system.
- the ink used to print key marks may also be used to print other marks to identify the type of form and/or to identify the particular document.
- the various inks used for the targets, and other inks used for key marks and identification marks are well known in the art. However, the requirement of using two separate inks on the same form and the degree of printer control necessary to ensure that the two inks are properly in register of each other makes OMR form printing an exacting and expensive process.
- This invention provides methods and apparatus for selectively processing colors printed, by machine or by hand, on a response sheet so that the same color may be used to print key marks and response targets for OMR or similar processing.
- the selective processing may be performed using a physical hardware filter to select the colors being processed in different segments of the sheet by the scanner, or by using software to selectively process colors by selectively interpreting color values, such as red, green, blue (RGB) values, assigned by a full spectrum color scanner.
- RGB red, green, blue
- a response sheet may have response targets and key marks printed in the same color ink, with one section of the form containing the key marks and another section containing the response targets.
- the section of the form containing the key marks will be unfiltered and processed by the scanner in the normal fashion. That is, unfiltered white light will be absorbed or reflected off the section containing the key marks so that the section is processed by the scanner and assigned pixel darkness values within a gray scale, usually 0 to 255.
- a filter is positioned between the light source and the scanner's sensor so that the light incident on the second section is the color of the response targets, thereby rendering the response targets unreadable in that section.
- the gray scale values in the key mark section are used to locate the key marks in the captured image which, in turn, can be used to project the location of the response targets areas, but only a mark in the response areas, made by the respondent in a color other than the color of the response targets, will show up as dark pixels.
- Another embodiment uses software to selectively process captured images from response sheets having key marks and response targets printed in the same color.
- digital imaging scanners capable of capturing an image of a response sheet with pixel darkness values assigned for three color bands, usually the primary colors red, green and blue (some may use the complimentary colors cyan, magenta, yellow).
- the assigned pixel darkness values for each of the three colors to each pixel enables a software program to recognize the color of each pixel. This can be used to provide a virtual filter when scanning a response sheet that has key marks and response targets printed in one color.
- the scanner captures a digital image of the sheet having RGB darkness values assigned for each pixel. That is, each pixel will have a pixel darkness value for red, blue and green.
- the system locates the key marks in the captured image. From the key marks, the system can locate, or project an expected location of, the response targets in the image. Then, using the darkness value of another color, the system can identify an intended response mark at the expected location of a target without processing the darkness value of the target itself.
- Figure 1 is a flow chart of the method steps for using a physical filter to perform OMR on a sheet having key marks and response targets printed in the same color.
- Figure 2 is a schematic diagram of a physical filter arranged to perform selective filtering of a sheet being scanned by an optical scanner.
- Figure 3 is a schematic diagram of the method steps for using software to selectively process colors when performing OMR on a sheet having key marks and response targets printed in the same color.
- sheet and “form” are used interchangeably, and both refer to a document containing one or more areas for a person to respond to a question or instruction by making a mark in an appropriate location on the document.
- OMR forms for standardized testing are common, but not exclusive examples. As described earlier, these forms may contain printed marks for location, orientation, determination of scanning speed, or document identification by the scanner. These marks will be referred to herein as “key marks”, with the understanding that the term includes, in its broad sense, timing tracks and any other type of mark utilized to process, orient, identify and interpret response sheets by optical scanning.
- Figure 1 shows the sequence of steps utilized in the embodiment wherein a physical filter is used to perform selective processing during optical scanning of an OMR form on which response targets and key marks are printed in the same color.
- a physical filter is used to perform selective processing during optical scanning of an OMR form on which response targets and key marks are printed in the same color.
- Such a form might have red key marks in the form of timing tracks along a side margin of the form, and red response targets in areas of the form inboard of the side margin.
- the first step (10) is to provide a digital imaging scanner having a light source and sensor for detecting light reflected off the sheet.
- the scanner should also be capable of assigning pixel darkness values within the gray scale to the amount of light reflected from discrete areas (pixels) of the sheet.
- Such scanners are well known, and usually provide a gray scale value to the various colors printed on a sheet from 0 (no reflected light or "black") to 255 ("white").
- the colors of the visible spectrum are each converted to shades of gray and assigned a unique value between 0 and 255. For example, when a red, blue or green mark is detected by a scanner, the scanner will assign a gray scale value to the mark of somewhere between 0 and 255.
- a color filter is provided that is appropriate for the color ink used to print the key marks and the response targets.
- the filter may operate through absorption, reflection, scattering or other principle, but its function is to filter the white light emanating from the scanner so that the light directed onto the sheet (where the filter is positioned so that light is filtered before reaching the sheet) or reflected off the sheet (where the filter is positioned so that light is filtered after reflecting off the sheet) is the same color as the key marks and response targets. The result is that the marks having the same color as the light that passes through the filter are not distinguishable from the sheet itself.
- the filter is arranged in a particular relation to the sheet path through the scanner, such that light reflected from a section of the form containing key marks is not filtered, and light reflected from the response targets is filtered.
- the filter may be placed such that the light is filtered to allow red light to be incident on the section containing the response targets, while white light is allowed to be incident on the margin where the timing tracks or key marks are located.
- the red key marks will absorb the green and blue components of white light and appear red.
- the scanner will then convert the red to a shade of gray and assign pixels corresponding to the key marks a relatively low gray scale value indicating a darkness.
- the sheet will reflect the red light and show up in the images as pixels with gray scale value closer to white, enabling the scanner to accurately detect the key marks.
- the red light causes the red response targets to appear the same as the white paper, while any other color marks made by the respondent will appear black.
- the sheet is scanned (40) with the digital imaging scanner to produce pixel darkness values for the pixels in the captured digital image of the sheet by assigning a gray scale value to each pixel.
- the gray scale values are used to locate (50) key marks in the captured image.
- the location of key marks in the image is used to locate or project an expected location of response targets in the captured image.
- An expected location of a target may be determined from the specification for the sheet and the variations from the specification of the key marks in the image, as described in pending PCT application PCT/US01/16966, the specification of which is hereby incorporated by reference.
- the gray scale values of pixels in an area at the locations calculated to be the expected locations of each response target are processed to identify response marks. If a blue, green or black response mark is present, it will appear dark, and if no response mark is present, it will appear light. Although the response targets are printed in the same color as the key marks, the filter is arranged so that the response targets appear to be the same as the sheet and are ignored.
- Figure 2 shows how an optical scanner can be modified by placing a filter in an orientation that leaves one edge of the sheet exposed to unfiltered light, while the remainder of the form is exposed to filtered light.
- a filter (110) is placed between the scanner's light source (112) and its camera or light-sensing device (114). The filter covers most, but not all of the width of the sheet (116) being scanned and will generally correspond to the section of the form having response targets.
- a light barrier (118) may be added to make a sharp separation of the filtered and unfiltered light.
- the filter (110) may freely pass light in a red band, but absorb or otherwise block the transmittance of other visible light. Then a form (116) can be printed with key marks and response targets in red.
- the side margin (120) of the sheet that receives unfiltered light from the source (112) can be used as the location of key marks, since, red ink will absorb green and blue band components of the unfiltered white light and appear dark in the image, enabling the scanner to assign it a gray scale value that is distinguishable from the sheet.
- the response targets are printed in the selectively filtered area (122) of the sheet, where the filtered red band light reflected off the red ink will be approximately the same as is reflected off the white paper, causing them both to have approximately the same gray scale value. Marks made by a lead pencil, blue pen, green pen, or other such mark that absorbs red light will cause such marks to appear dark in the image and be distinguishable by their pixel darkness values.
- the selective placement of a red light filter enables a scanner to read the red key marks in the unfiltered section while ignoring the red response targets of the filtered section.
- the filter When a selective filter is added to a scanning system as described above, the filter will generally reduce the total light in the filtered area. Consequently, it may be necessary to compensate by reducing the amount of light in the unfiltered area so that the reflected light reaching the scanner's light sensor is roughly comparable over the form.
- an alternative to selective filtering with a physical filter is to use software in conjunction with a color scanner to selectively process the colors within a captured image.
- the various colors present on a sheet are assigned as set of pixel darkness values in the primary or complimentary colors.
- This set enables a software program to selectively process particular colors in particular sections of the sheet. For example, where key marks and response targets are printed in red, the software may be programmed so that the color red is processed in the section of the form having red key marks, while only colors other than red are processed in the section of the form having response targets. Although the response targets are printed in the same color as the key marks, the software is arranged so that the response targets appear to be the same as the sheet and are ignored.
- the first step (1000) of Figure 3 is to provide a digital imaging scanner capable of capturing an image of a response sheet with a set of color values, such as a set of RGB values, assigned to each pixel.
- a digital imaging scanner capable of capturing an image of a response sheet with a set of color values, such as a set of RGB values, assigned to each pixel.
- Such a scanner records and assigns pixel darkness values for the three primary colors, red, green, and blue for each pixel on the sheet. Collectively, those values can be referred to as a pixel's RGB values.
- RBG values should be understood as a shorthanded expression for primary or complimentary color values; so the complimentary color values would still be referred to as RBG values.
- red ink the RGB values would show a high red content and a low content for blue and green. Green ink would have a high green content and low for red and blue.
- Blue ink would have a high blue content and low red and green.
- a white pixel will have high content for all three primary colors, whereas the RGB value for black marks will have low content for red, green and blue.
- Examples of scanners capable of properly assigning RGB values range from the HP ScanJet 5100C up to the SCAMA 000 by InoTec.
- Step (2000) of the process shown in Figure 3 is to provide a response sheet having key marks and response targets printed in the same color. That color may be any color in the visual spectrum, including black (or white where a non- white form is used). However, the color selected for the key marks and response targets may not be used by a respondent to make response marks. That is, if blue is used for the key marks and response targets, blue may not be used to make response marks. For this reason, red may be the color of choice for the key marks and response targets because then any color other than red may be used to make response marks including black pencil, black ink, and blue ink.
- the scanner captures a digital image of the sheet with RGB values assigned to each pixel that corresponds to the color of that pixel. Then, using the RGB values for the color of the key marks, the key marks are located in the captured image (4000).
- the next step (5000) is to calculate, based on the location of the key marks in the image, an expected location of response targets in the image. Then in the following step (6000), the RGB values that correspond to the color of the response targets are ignored. The expected target locations are interrogated to determine the presence of RGB values that correspond to any color other than the response target color. Accordingly, any mark in any color other than the response target color made at an expected target location may be properly processed as an intended response.
- computer software is used to selectively process colors on a response sheet using the color's RGB values enabling the key marks and targets to be printed in the same color.
- the scanner calculates pixel darkness values for red, green and blue so as to provide RGB values for each pixel to locate key marks in the captured image.
- the software calculates an expected location of response targets.
- the software then processes the RGB values provided by the scanner in any color other than the color of the response targets to identify the presence of marks made by a respondent at the expected location of a target. Again, those marks may be made in any color other than the color of the response targets.
- While the present invention is quite capable of scanning a sheet having key marks and targets printed in two colors that are in close registration, implementation of the present invention enables the key marks and response targets of response forms to be printed in the same color ink or in two colors not in close registration with each other.
- Selective processing also facilitates the use of printers that are not capable of keeping two or more colors in close registration for printing response forms. Examples of such devices include single color printing presses, digital duplicators, mimeograph machines, and other devices that can print only one color at a time.
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Abstract
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Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU2001284710A AU2001284710A1 (en) | 2000-08-11 | 2001-08-02 | Method and apparatus for selective processing of captured images |
US10/344,378 US7417774B2 (en) | 2000-08-11 | 2001-08-02 | Method and apparatus for selective processing of captured images |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US22432700P | 2000-08-11 | 2000-08-11 | |
US60/224,327 | 2000-08-11 |
Publications (2)
Publication Number | Publication Date |
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WO2002015558A2 true WO2002015558A2 (en) | 2002-02-21 |
WO2002015558A3 WO2002015558A3 (en) | 2002-08-29 |
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Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2001/016966 WO2002015170A2 (en) | 2000-08-11 | 2001-05-25 | Enhanced data capture from imaged documents |
PCT/US2001/024464 WO2002015558A2 (en) | 2000-08-11 | 2001-08-02 | Method and apparatus for selective processing of captured images |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/US2001/016966 WO2002015170A2 (en) | 2000-08-11 | 2001-05-25 | Enhanced data capture from imaged documents |
Country Status (3)
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US (3) | US7573616B2 (en) |
AU (2) | AU2001264956A1 (en) |
WO (2) | WO2002015170A2 (en) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7606421B2 (en) | 2004-12-08 | 2009-10-20 | Ctb/Mcgraw-Hill Llc | Data extraction from temporal image data |
US8526766B2 (en) | 2007-10-31 | 2013-09-03 | Ctb/Mcgraw-Hill Llc | Use of composite bitmapped images in conjunction with display of captured data |
Families Citing this family (41)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2002015170A2 (en) * | 2000-08-11 | 2002-02-21 | Ctb/Mcgraw-Hill Llc | Enhanced data capture from imaged documents |
US8892895B1 (en) | 2002-05-07 | 2014-11-18 | Data Recognition Corporation | Integrated system for electronic tracking and control of documents |
US6772081B1 (en) | 2002-05-21 | 2004-08-03 | Data Recognition Corporation | Priority system and method for processing standardized tests |
US8385811B1 (en) | 2003-02-11 | 2013-02-26 | Data Recognition Corporation | System and method for processing forms using color |
TW591595B (en) * | 2003-05-23 | 2004-06-11 | Toppoly Optoelectronics Corp | LCD driving circuit |
JP4428084B2 (en) * | 2004-02-25 | 2010-03-10 | セイコーエプソン株式会社 | Image generation that edits and generates images by processing image data that composes images |
US7298901B2 (en) * | 2004-04-07 | 2007-11-20 | Scantron Corporation | Scannable form and system |
JP2007003636A (en) * | 2005-06-22 | 2007-01-11 | Fuji Xerox Co Ltd | Teaching material processing apparatus, teaching material processing method, and teaching material processing program |
US20070048718A1 (en) * | 2005-08-09 | 2007-03-01 | Exam Grader, Llc | System and Method for Test Creation, Verification, and Evaluation |
EP1791080A1 (en) | 2005-11-23 | 2007-05-30 | Neopost S.A. | Finding markings on a document |
GB2448275A (en) * | 2006-01-03 | 2008-10-08 | Kyos Systems Inc | Document analysis system for integration of paper records into a searchable electronic database |
US8155444B2 (en) * | 2007-01-15 | 2012-04-10 | Microsoft Corporation | Image text to character information conversion |
US20080227075A1 (en) | 2007-03-15 | 2008-09-18 | Ctb/Mcgraw-Hill, Llc | Method and system for redundant data capture from scanned documents |
US20080280280A1 (en) * | 2007-05-11 | 2008-11-13 | Aplia, Inc. | Method of capturing workflow |
US20090015875A1 (en) * | 2007-06-20 | 2009-01-15 | Ctb/Mcgraw-Hill Companies, Inc. | Image manipulation of digitized images of documents |
US8336779B1 (en) * | 2007-09-10 | 2012-12-25 | Robert Austin Porter | System for automatically reading a response form using a digital camera |
US8649601B1 (en) | 2007-10-22 | 2014-02-11 | Data Recognition Corporation | Method and apparatus for verifying answer document images |
US8526055B1 (en) * | 2007-10-22 | 2013-09-03 | Data Recognition Corporation | Standardized test and survey imaging system |
US8738659B1 (en) | 2007-10-22 | 2014-05-27 | Data Recognition Corporation | Method and apparatus for managing priority in standardized test and survey imaging |
US9195875B1 (en) | 2007-10-22 | 2015-11-24 | Data Recognition Corporation | Method and apparatus for defining fields in standardized test imaging |
US8488220B1 (en) | 2007-10-22 | 2013-07-16 | Data Recognition Corporation | Method and apparatus for calibrating imaging equipment |
US8331740B2 (en) * | 2007-11-06 | 2012-12-11 | Gravic, Inc. | Inferential self-registration of imperfect OMR forms |
US20090298026A1 (en) * | 2008-06-02 | 2009-12-03 | Adapx, Inc. | Systems and methods for neuropsychological testing |
JP5712487B2 (en) * | 2009-09-04 | 2015-05-07 | 株式会社リコー | Image processing apparatus, image processing system, image processing method, and program |
KR101621848B1 (en) * | 2009-12-14 | 2016-06-01 | 삼성전자주식회사 | Image processing apparatus and method |
US8600165B2 (en) * | 2010-02-12 | 2013-12-03 | Xerox Corporation | Optical mark classification system and method |
KR101031808B1 (en) | 2011-03-03 | 2011-04-29 | 주식회사 경기정보통신 | Apparatus for recognizing correct answer marks of an omr card |
US9218536B2 (en) | 2011-12-23 | 2015-12-22 | Cognex Corporation | Methods and apparatus for one-dimensional signal extraction |
US20140320505A1 (en) * | 2013-04-30 | 2014-10-30 | Kobo Incorporated | Greyscale animation |
US9019570B1 (en) | 2013-11-27 | 2015-04-28 | Mcgraw-Hill School Education Holdings Llc | Systems and methods for computationally distinguishing handwritten pencil marks from preprinted marks in a scanned document |
US20170200383A1 (en) * | 2014-05-27 | 2017-07-13 | Invenciones Tecnológicas Spa | Automated review of forms through augmented reality |
US10958827B2 (en) | 2015-04-30 | 2021-03-23 | E-Image Data Corporation | Image mark sensing systems and methods |
WO2016176599A1 (en) * | 2015-04-30 | 2016-11-03 | E-Image Data Corporation | Image mark sensing systems and methods |
US20170068868A1 (en) * | 2015-09-09 | 2017-03-09 | Google Inc. | Enhancing handwriting recognition using pre-filter classification |
US9716838B1 (en) * | 2016-01-27 | 2017-07-25 | Pearson Education, Inc. | Feedback system for imager exposure rate control |
US10025967B2 (en) * | 2016-01-27 | 2018-07-17 | Pearson Education, Inc. | Optical data manipulation for skew and growth compensation |
US10176411B2 (en) * | 2016-05-26 | 2019-01-08 | Scantron Corporation | Single-pass imaging and optical mark recognition scanning |
US10685578B2 (en) * | 2016-09-30 | 2020-06-16 | Mark Stephen Merry | Test scanning and evaluation system |
US10452944B2 (en) * | 2017-11-13 | 2019-10-22 | Kabushiki Kaisha Toshiba | Multifunction peripheral assisted optical mark recognition using dynamic model and template identification |
US11030398B2 (en) * | 2018-04-05 | 2021-06-08 | Runbeck Election Services Inc. | Ballot duplication system and methods thereof |
CN112669297B (en) * | 2020-12-31 | 2022-05-27 | 中国科学院长春光学精密机械与物理研究所 | Target detection method |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5452379A (en) * | 1991-09-13 | 1995-09-19 | Meadowbrook Industries, Ltd. | Image capture and storage techniques in association with optical mark reading |
US5672060A (en) * | 1992-07-08 | 1997-09-30 | Meadowbrook Industries, Ltd. | Apparatus and method for scoring nonobjective assessment materials through the application and use of captured images |
Family Cites Families (58)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US504896A (en) * | 1893-09-12 | Fob boilers | ||
US3666760A (en) * | 1970-04-02 | 1972-05-30 | Sterling Drug Inc | Iodinated 3-aminobenzamides |
US4219736A (en) * | 1975-11-14 | 1980-08-26 | National Computer Systems, Inc. | Apparatus for photoelectrically reading a translucent answer document having a bias bar printed thereon |
US4300123A (en) | 1979-01-02 | 1981-11-10 | Westinghouse Electric Corp. | Optical reading system |
US4478584A (en) | 1983-08-26 | 1984-10-23 | Kathryn Kaney | Method for recording uncoded scores or ratings by multiple evaluators on a single automatic machine scannable document |
US4973439A (en) * | 1984-07-13 | 1990-11-27 | Xerox Corporation | Process for preparing toner particles |
US4708503A (en) | 1985-03-21 | 1987-11-24 | Meadowbrook Industries, Inc. | Work carrier for use in computer printing |
JPH0834543B2 (en) | 1986-06-30 | 1996-03-29 | 株式会社リコー | Scanner |
US4930077A (en) | 1987-04-06 | 1990-05-29 | Fan David P | Information processing expert system for text analysis and predicting public opinion based information available to the public |
US5017763A (en) * | 1987-04-20 | 1991-05-21 | Cognitronics Corp. | Scanning apparatus storing both processed and unprocessed scan data signals for separate read-out and method of operating same |
GB8803767D0 (en) * | 1988-02-18 | 1988-03-16 | Ici Plc | Desulphurisation |
US5001330A (en) | 1988-03-02 | 1991-03-19 | National Computer Systems, Inc. | Optically scanned document with fail-safe marking |
US4857715A (en) * | 1988-04-01 | 1989-08-15 | National Computer Systems, Inc. | Overprint registration system for printing a customized survey form and scannable form therefor |
US4937439A (en) | 1988-05-13 | 1990-06-26 | National Computer Systems, Inc. | Method and system for creating and scanning a customized survey form |
US5001769A (en) | 1988-12-20 | 1991-03-19 | Educational Testing Service | Image processing system |
US5291592A (en) * | 1989-05-15 | 1994-03-01 | Sharp Kabushiki Kaisha | System having document scanner for optically scanning information whereby a first information contains control information indicating a number of sheets to be scanned |
US5099340A (en) | 1989-05-15 | 1992-03-24 | Sharp Kabushiki Kaisha | Electronic filing apparatus |
US4978305A (en) | 1989-06-06 | 1990-12-18 | Educational Testing Service | Free response test grading method |
US5011413A (en) | 1989-07-19 | 1991-04-30 | Educational Testing Service | Machine-interpretable figural response testing |
US5211564A (en) | 1989-07-19 | 1993-05-18 | Educational Testing Service | Computerized figural response testing system and method |
US5004896A (en) | 1989-07-26 | 1991-04-02 | Educational Testing Service | Optical document scanning and mark sensing |
US5140139A (en) | 1989-11-13 | 1992-08-18 | Cognitronics Corporation | Preparing mark/read documents with markable boxes and locating the boxes from the document scan data |
US5184003A (en) | 1989-12-04 | 1993-02-02 | National Computer Systems, Inc. | Scannable form having a control mark column with encoded data marks |
US5103490A (en) | 1990-06-13 | 1992-04-07 | National Computer Systems, Inc. | Method and apparatus for storing and merging multiple optically scanned images |
US5134669A (en) | 1990-06-13 | 1992-07-28 | National Computer Systems | Image processing system for documentary data |
US5085587A (en) * | 1990-08-07 | 1992-02-04 | Scantron Corporation | Scannable form and system |
US5194966A (en) | 1990-11-20 | 1993-03-16 | Educational Testing Service | Optical scanner threshold setting method and sheet |
EP0525359B1 (en) | 1991-07-12 | 1999-05-06 | Educational Testing Service | System for picture image processing |
US5987149A (en) | 1992-07-08 | 1999-11-16 | Uniscore Incorporated | Method for scoring and control of scoring open-ended assessments using scorers in diverse locations |
US5437554A (en) | 1993-02-05 | 1995-08-01 | National Computer Systems, Inc. | System for providing performance feedback to test resolvers |
US5318465A (en) * | 1993-06-10 | 1994-06-07 | Burndy Corporation | Retention system with collapsible bridge |
US5420407A (en) | 1993-09-17 | 1995-05-30 | National Computer Systems, Inc. | Adjustable read level threshold for optical mark scanning |
EP0940780B1 (en) * | 1994-01-20 | 2001-05-30 | Omron Corporation | Image processing device and method for detecting a reference pattern |
US5664076A (en) * | 1994-12-27 | 1997-09-02 | Karen A. Pluta | Apparatus and method for making a scannable form on a blank sheet |
US5873077A (en) * | 1995-01-13 | 1999-02-16 | Ricoh Corporation | Method and apparatus for searching for and retrieving documents using a facsimile machine |
US6411725B1 (en) | 1995-07-27 | 2002-06-25 | Digimarc Corporation | Watermark enabled video objects |
DE69620533T2 (en) * | 1995-10-04 | 2002-10-02 | Canon Kk | Image processing method |
WO1998020445A1 (en) | 1996-11-08 | 1998-05-14 | National Computer Systems, Inc. | Optical scanning with calibrated pixel output |
JP3482795B2 (en) * | 1996-12-17 | 2004-01-06 | ミノルタ株式会社 | Image reading device |
US5869789A (en) | 1997-01-27 | 1999-02-09 | Educational Testing Service | Image digitizer with page number detector and recorder |
US5991595A (en) | 1997-03-21 | 1999-11-23 | Educational Testing Service | Computerized system for scoring constructed responses and methods for training, monitoring, and evaluating human rater's scoring of constructed responses |
US6295439B1 (en) | 1997-03-21 | 2001-09-25 | Educational Testing Service | Methods and systems for presentation and evaluation of constructed responses assessed by human evaluators |
US6311040B1 (en) * | 1997-07-31 | 2001-10-30 | The Psychological Corporation | System and method for scoring test answer sheets having open-ended questions |
US6173154B1 (en) * | 1997-07-31 | 2001-01-09 | The Psychological Corporation | System and method for imaging test answer sheets having open-ended questions |
US6079624A (en) * | 1997-12-08 | 2000-06-27 | William C. Apperson | Data processing form using a scanning apparatus |
US6176429B1 (en) * | 1998-07-17 | 2001-01-23 | Psc Scanning, Inc. | Optical reader with selectable processing characteristics for reading data in multiple formats |
US6352332B1 (en) * | 1999-07-08 | 2002-03-05 | Hewlett-Packard Company | Method and apparatus for printing zone print media edge detection |
US6501857B1 (en) | 1999-07-20 | 2002-12-31 | Craig Gotsman | Method and system for detecting and classifying objects in an image |
US6963425B1 (en) | 2000-08-14 | 2005-11-08 | National Instruments Corporation | System and method for locating color and pattern match regions in a target image |
WO2002015170A2 (en) | 2000-08-11 | 2002-02-21 | Ctb/Mcgraw-Hill Llc | Enhanced data capture from imaged documents |
US7123764B2 (en) * | 2000-11-08 | 2006-10-17 | Surface Logix Inc. | Image processing method for use in analyzing data of a chemotaxis or haptotaxis assay |
US6988895B1 (en) | 2001-01-12 | 2006-01-24 | Ncs Pearson, Inc. | Electronic test item display as an image with overlay controls |
US6961482B2 (en) | 2001-03-05 | 2005-11-01 | Ncs Pearson, Inc. | System for archiving electronic images of test question responses |
US7095979B2 (en) | 2001-04-20 | 2006-08-22 | Educational Testing Service | Method of evaluation fit of raw data to model data |
WO2004104770A2 (en) | 2003-05-16 | 2004-12-02 | Educational Testing Services | Method and system for receiving responses utilizing digital pen and paper |
US7020435B2 (en) | 2003-06-12 | 2006-03-28 | Harcourt Assessment, Inc. | Electronic test answer record image quality improvement system and method |
US20070008564A1 (en) | 2005-07-06 | 2007-01-11 | Harcourt Assessment, Inc. | Image element alignment for printed matter and associated methods |
JP4797959B2 (en) * | 2006-12-11 | 2011-10-19 | ブラザー工業株式会社 | Image reading device |
-
2001
- 2001-05-25 WO PCT/US2001/016966 patent/WO2002015170A2/en active Search and Examination
- 2001-05-25 AU AU2001264956A patent/AU2001264956A1/en not_active Abandoned
- 2001-05-25 US US10/344,377 patent/US7573616B2/en active Active
- 2001-08-02 WO PCT/US2001/024464 patent/WO2002015558A2/en active Application Filing
- 2001-08-02 US US10/344,378 patent/US7417774B2/en not_active Expired - Lifetime
- 2001-08-02 AU AU2001284710A patent/AU2001284710A1/en not_active Abandoned
-
2008
- 2008-06-18 US US12/141,349 patent/US7911660B2/en not_active Expired - Lifetime
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5452379A (en) * | 1991-09-13 | 1995-09-19 | Meadowbrook Industries, Ltd. | Image capture and storage techniques in association with optical mark reading |
US5672060A (en) * | 1992-07-08 | 1997-09-30 | Meadowbrook Industries, Ltd. | Apparatus and method for scoring nonobjective assessment materials through the application and use of captured images |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7606421B2 (en) | 2004-12-08 | 2009-10-20 | Ctb/Mcgraw-Hill Llc | Data extraction from temporal image data |
US8526766B2 (en) | 2007-10-31 | 2013-09-03 | Ctb/Mcgraw-Hill Llc | Use of composite bitmapped images in conjunction with display of captured data |
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AU2001264956A1 (en) | 2002-02-25 |
US7417774B2 (en) | 2008-08-26 |
US7573616B2 (en) | 2009-08-11 |
WO2002015170A2 (en) | 2002-02-21 |
US20040131279A1 (en) | 2004-07-08 |
US20040126036A1 (en) | 2004-07-01 |
AU2001284710A1 (en) | 2002-02-25 |
WO2002015170A3 (en) | 2002-04-25 |
WO2002015558A3 (en) | 2002-08-29 |
US20080316552A1 (en) | 2008-12-25 |
US7911660B2 (en) | 2011-03-22 |
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