| 序号 | 专利名 | 申请号 | 申请日 | 公开（公告）号 | 公开（公告）日 | 发明人 |
|---|---|---|---|---|---|---|
| 921 | METHOD AND SYSTEM FOR OPTICAL CHARACTER RECOGNITION THAT SHORT CIRCUIT PROCESSING FOR NON-CHARACTER CONTAINING CANDIDATE SYMBOL IMAGES | US14568814 | 2014-12-12 | US20160048728A1 | 2016-02-18 | Yuri Chulinin |
| The current document is directed to methods and systems for identifying Chinese, Japanese, Korean, or similar language symbols that correspond to symbol images in a scanned-document image or other text-containing image. In a first processing phase, each symbol image is associated with a set of candidate graphemes. In a second processing phase, each symbol image is evaluated with respect to the set of candidate graphemes identified for the symbol image during the first phase. As candidate graphemes are processed, the currently described methods and systems monitor progress towards identifying a matching grapheme and, when insufficient progress is observed, terminate processing of the candidate graphemes and identify the symbol image as a non-symbol-containing area of the scanned-document image or other text-containing image. | ||||||
| 922 | Method for processing optical character recognition (OCR) data, wherein the output comprises visually impaired character images | US12744974 | 2008-11-21 | US08467614B2 | 2013-06-18 | Knut Tharald Fosseide; Hans Christian Meyer |
| The present invention provides a method for an Optical Character Recognition (OCR) system providing recognition of characters that are partly hidden by crossing outs due to for example an imprint of a stamp, handwritten signatures, etc. The method establishes a set of template images of certainly recognized characters from the image of the text being processed by the OCR system, wherein the effect of the crossed out section is modelled into the template images before comparing these images with the image of a visually impaired crossed out character. The modelled template image having the highest similarity with the visually impaired crossed out character is the correct identification for the visually impaired character instance. | ||||||
| 923 | Method for processing optical character recognition (OCR) output data, wherein the output data comprises double printed character images | US12744985 | 2008-11-24 | US08320677B2 | 2012-11-27 | Knut Tharald Fosseide; Hans Christian Meyer |
| The present invention is related to a method of processing of output data from an Optical Character Recognition (OCR) system, wherein the output data comprises images of double printed characters. The method identifies the respective members of a suspected double printed character image by first providing a set of single character template images from images of characters identified in the text being processed by the OCR system, then combining the single character templates providing candidate models for the suspected double printed character image. Correlation between each respective candidate model and the suspected double printed character image provides an indication of which pair of modelled single template character images that most probable are the correct identification of the respective character images in the double printed character image. | ||||||
| 924 | METHOD, DEVICE AND COMPUTER PROGRAM PRODUCT FOR INTEGRATING CODE-BASED AND OPTICAL CHARACTER RECOGNITION TECHNOLOGIES INTO A MOBILE VISUAL SEARCH | US13268223 | 2011-10-07 | US20120027301A1 | 2012-02-02 | C. Philipp Schloter; Jiang Gao |
| A device for switching between code-based searching, optical character recognition (OCR) searching and visual searching is provided. The device includes a media content input for receiving media content from a camera or other element of the device and transferring this media content to a switch. Additionally, the device includes a meta-information input capable of receiving meta-information from an element of the device and transferring the meta-information to the switch. The switch is able to utilize the received media content and the meta-information to select and/or switch between a visual search algorithm, an OCR algorithm and a code-based algorithm. | ||||||
| 925 | METHOD FOR PROCESSING OPTICAL CHARACTER RECOGNITION (OCR) OUTPUT DATA, WHEREIN THE OUTPUT DATA COMPRISES DOUBLE PRINTED CHARACTER IMAGES | US12744985 | 2008-11-24 | US20110052064A1 | 2011-03-03 | Knut Tharald Fosseide; Hans Christian Meyer |
| The present invention is related to a method of processing of output data from an Optical Character Recognition (OCR) system, wherein the output data comprises images of double printed characters. The method identifies the respective members of a suspected double printed character image by first providing a set of single character template images from images of characters identified in the text being processed by the OCR system, then combining the single character templates providing candidate models for the suspected double printed character image. Correlation between each respective candidate model and the suspected double printed character image provides an indication of which pair of modelled single template character images that most probable are he correct identification of the respective character images in the double printed character image. | ||||||
| 926 | Gesture Processing with Low Resolution Images with High Resolution Processing for Optical Character Recognition for a Reading Machine | US12618858 | 2009-11-16 | US20100074471A1 | 2010-03-25 | Raymond C. Kurzweil; Paul Albrecht; James Gashel; Lucy Gibson; Lev Lvovsky |
| A portable reading machine that operates in several modes and performs image preprocessing to prior to optical character recognition. The portable reading machine receives a low resolution image and a high resolution image of a scene and processing the low resolution image to recognize a user-initiated gesture using a gesturing item that indicates a command from the user to the reading machine and the high resolution image to recognize text in the image of the scene, according to the command from the user to the machine. | ||||||
| 927 | System for capturing and presenting text using video image capture for optical character recognition | US11729662 | 2007-03-28 | US20070230786A1 | 2007-10-04 | Benjamin Perkins Foss |
| An apparatus for capturing text found on an object. The apparatus comprises an image capture subsystem which includes a video camera configured to capture a plurality of images to form a video stream. The image capture subsystem is configured to generate a master image from the video stream. The apparatus additionally comprises an Optical Character Recognition (“OCR”) subsystem configured to process the master image to form a digital text that corresponds to at least some of the text on the object. | ||||||
| 928 | Method for capturing and presenting text while maintaining material context during optical character recognition | US11729665 | 2007-03-28 | US20070230749A1 | 2007-10-04 | Benjamin Perkins Foss |
| A method of presenting text found on a substantially planar object. The method comprises positioning the substantially planar object for imaging; capturing an image from the substantially planar object; converting the image to a digital text; associating a media type with the text found on the substantially planar object; organizing the digital text according to the media type; and converting the digital text to an output format. | ||||||
| 929 | Adaptive, product control and stabilization sub-system for camera-based optical character recognition, and a method of operating the same | US10050784 | 2002-01-18 | US07006665B2 | 2006-02-28 | Jack E. Olson; Joe C. Bollinger; Willson L. Mayerberg II; William Wheeler |
| A mail article transportation and stabilization system, and a method of operating the same, for use in conjunction with a camera-based optical character recognition (OCR), bar code reader (BCR), or similar image capture scanning system, comprises a conveyor drive belt for conveying the articles, pieces, or units of mail across a platen assembly within which an optical character recognition (OCR), bar code reader (BCR), or similar image capture camera or the like is positioned and in conjunction with which there is provided a serial array of air plenums for effectively creating an air bearing or air layer upon which the conveyor belt and the articles, pieces, or units of mail are conveyed in a relatively frictionless manner. The incoming pieces, articles, or units of mail are therefore able to be conveyed in a smooth, jitter-free, and stabilized manner whereby scanning, imaging, and reading of the address information contained upon the articles, pieces, or units of mail, as the articles, pieces or units of mail are conveyed past the camera view port, are able to be accurately, clearly, and completely achieved. | ||||||
| 930 | Method and apparatus for controlling cameras and performing optical character recognition of container code and chassis code | US10801245 | 2004-03-15 | US20050201592A1 | 2005-09-15 | Christopher Peach; Xiaoguang Feng; Vishal Desai |
| A method and apparatus for controlling cameras and performing Optical Character Recognition (OCR) of a container code and a chassis code on a containers and a chassis associated with a truck has at least one camera capable of viewing the truck as it passes the camera. When the truck passes the camera, which the camera may determine when it is in a first viewing position, and the truck stops, which may be determined by the camera when it is in a second viewing position, the camera views the truck and determines if it has a chassis and container, and if so, what is the container size. The camera then pans to another viewing position depending on container size, and images a container code. Another camera may determine chassis code. | ||||||
| 931 | Adaptive, product control and stabilization sub-system for camera-based optical character recognition, and a method of operating the same | US10050784 | 2002-01-18 | US20030138129A1 | 2003-07-24 | Jack E. Olson; Joe C. Bollinger; Willson L. Mayerberg II; William Wheeler |
| A mail article transportation and stabilization system, and a method of operating the same, for use in conjunction with a camera-based optical character recognition (OCR), bar code reader (BCR), or similar image capture scanning system, comprises a conveyor drive belt for conveying the articles, pieces, or units of mail across a platen assembly within which an optical character recognition (OCR), bar code reader (BCR), or similar image capture camera or the like is positioned and in conjunction with which there is provided a serial array of air plenums for effectively creating an air bearing or air layer upon which the conveyor belt and the articles, pieces, or units of mail are conveyed in a relatively frictionless manner. The incoming pieces, articles, or units of mail are therefore able to be conveyed in a smooth, jitter-free, and stabilized manner whereby scanning, imaging, and reading of the address information contained upon the articles, pieces, or units of mail, as the articles, pieces or units of mail are conveyed past the camera view port, are able to be accurately, clearly, and completely achieved. | ||||||
| 932 | Confusion matrix based method and system for correcting misrecognized words appearing in documents generated by an optical character recognition technique | US909199 | 1997-08-11 | US6154579A | 2000-11-28 | Randy G. Goldberg |
| A method and apparatus for correcting misrecognized words appearing in electronic documents that have been generated by scanning an original document in accordance with an optical character recognition ("OCR") technique. If an incorrect word is found in the electronic document, the present invention generates at least one reference word and selects the reference word that is the most likely correct replacement for the incorrect word. This selection is accomplished by performing a probabilistic determination that assigns to each reference word a replacement word recognition probability. The probabilistic determination is carried out on the basis of a pre-stored confusion matrix that stores a plurality of probability values. The confusion matrix is used to associate each character of recognized word in the electronic document with a corresponding character of a word in the original document on the basis of these probability values. | ||||||
| 933 | Method for repairing images for optical character recognition performing different repair operations based on measured image characteristics | US632010 | 1990-12-21 | US5142589A | 1992-08-25 | Robert Lougheed; James Beyer |
| A computer system and method for repairing address blocks and ZIP codes numerical groups before segmentation of the ZIP code in an optical character recognizer. The system repairs the image based upon classification of the image as normal or otherwise. If the class is otherwise, background inclusions and gaps are filled in. If the class is normal, small noise pixel elements are eliminated. Once the ZIP code is located, non-horizontal and horizontal gaps are filled in between strokes and small strokes. The amount of dilation of the strokes and small strokes depends on the size of the strokes. The strokes are dilated and then the dilated area is eroded and shaped to conform to the original strokes. The repair connects strokes before segmentation of the ZIP code block into individual digits. | ||||||
| 934 | Optical character recognition system using parallel different scan signal processors to feed higher speed asynchronous recognition register | US3644890D | 1969-12-29 | US3644890A | 1972-02-22 | MATTHEWS WILLIAM J |
| An Optical Character Recognition (OCR) system which scans a character to be recognized to produce a scanner output signal which feeds parallel different processors, the outputs of which are inspected sequentially in real time at a rate higher than the scan signal frequency by a recognition mask system. The parallel different processors derive from the scanner output signal a plurality of different though related output signals which in effect represent a plurality of scans of the character in different modes, thereby reducing the need to rescan nonstandard characters in such different modes. The parallel different processors utilize (1) bilevel quantizers with different threshold levels, thereby to provide a normalized binary signal for characters of nonstandard contrast, and (2) stacking shift registers, operating at different speeds, for receiving the outputs of the bilevel quantizers, thereby to provide a normalized binary signal for characters of nonstandard height. The information in the stacking registers, which store at any instant a part only of the scanner output signal, is periodically supplied, by parallel transmission, to respective groups of nonadjacent initial stages of a high-speed recognition register which operates asynchronously with the scanner and at a much higher speed than the scanner. A set of recognition masks, each designed to provide a maximum output in response to a signal representative of a particular character, is coupled to nonadjacent subsequent stages of the recognition register such that complete binary signals from the stacking register, representing differently processed versions of the scanner output signal, are inspected sequentially. In the course of this operation each mask inspects every binary signal. Identity of the scanned character is indicated by the mask which produces the highest output.
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| 935 | A SUPPLEMENTAL DEVICE FOR ATTACHMENT TO AN INJECTION DEVICE FOR RECORDING AND DISPLAYING A DOSE VALUE SET BY THE USER USING OPTICAL CHARACTER RECOGNITION (OCR) | PCT/EP2015/051230 | 2015-01-22 | WO2015110520A1 | 2015-07-30 | ALLERDINGS, Alexander; HOFFMANN, Christian; FISCHER, Rainer |
A supplemental device (2) for attachment to a pen-type drug injection device, the supplemental device comprising an optical sensor array or camera (25) configured to capture an image of one or more numbers representing dose values on a dose dial sleeve of the injection device, and a processor (24) and memory (240,241) arrangement configured to run an algorithm to receive image data from the sensor/camera and extract the dialled dose value from said image via optical character recognition (OCR). The algorithm is able to determine the set dose value which is at the centre of the image (902), also if the dose scale only comprises integer values in steps of two (see Fig.9). |
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| 936 | A METHOD FOR RESOLVING CONTRADICTING OUTPUT DATA FROM AN OPTICAL CHARACTER RECOGNITION (OCR) SYSTEM, WHEREIN THE OUTPUT DATA COMPRISES MORE THAN ONE RECOGNITION ALTERNATIVE FOR AN IMAGE OF A CHARACTER | PCT/NO2008/000411 | 2008-11-19 | WO2009067022A1 | 2009-05-28 | FOSSEIDE, Knut, Tharald; MEYER, Hans, Christian |
The present invention is related to a method for resolving contradicting output data from an Optical Character Recognition (OCR) system providing a conversion of pixelized documents into computer coded text as the output data, wherein the OCR output data comprises at least a first and second character listed as being likely candidates for an exemplar of a same sampled character instance from the pixelized document, by providing steps that identify locations of differences in graphical appearance between the candidate characters, and then using the location information to identify a corresponding locations in the sampled character instance. Based on correlation technique, this location information is used to select the correct candidate character as the identification of the sampled character instance. |
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| 937 | A METHOD FOR RESOLVING CONTRADICTING OUTPUT DATA FROM AN OPTICAL CHARACTER RECOGNITION (OCR) SYSTEM, WHEREIN THE OUTPUT DATA COMPRISES MORE THAN ONE RECOGNITION ALTERNATIVE FOR AN IMAGE OF A CHARACTER | EP08852033.3 | 2008-11-19 | EP2223265A1 | 2010-09-01 | FOSSEIDE, Knut, Tharald; MEYER, Hans, Christian |
| The present invention is related to a method for resolving contradicting output data from an Optical Character Recognition (OCR) system providing a conversion of pixelized documents into computer coded text as the output data, wherein the OCR output data comprises at least a first and second character listed as being likely candidates for an exemplar of a same sampled character instance from the pixelized document, by providing steps that identify locations of differences in graphical appearance between the candidate characters, and then using the location information to identify a corresponding locations in the sampled character instance. Based on correlation technique, this location information is used to select the correct candidate character as the identification of the sampled character instance. | ||||||
| 938 | SUPPLEMENTAL DEVICE FOR ATTACHMENT TO AN INJECTION DEVICE FOR RECORDING AND DISPLAYING A DOSE VALUE SET BY THE USER USING OPTICAL CHARACTER RECOGNITION (OCR) | US15113213 | 2015-01-22 | US20170032211A1 | 2017-02-02 | Alexander Allerdings; Christian Hoffmann; Rainer Fischer |
| A supplemental device (2) for attachment to a pen-type drug injection device, the supplemental device comprising an optical sensor array or camera (25) configured to capture an image of one or more numbers representing dose values on a dose dial sleeve of the injection device, and a processor (24) and memory (240,241) arrangement configured to run an algorithm to receive image data from the sensor/camera and extract the dialed dose value from said image via optical character recognition (OCR). The algorithm is able to determine the set dose value which is at the centre of the image (902), also if the dose scale only comprises integer values in steps of two (see FIG. 9). | ||||||
| 939 | Method for resolving contradicting output data from an optical character recognition (OCR) system, wherein the output data comprises more than one recognition alternative for an image of a character | US12743899 | 2008-11-19 | US08249364B2 | 2012-08-21 | Knut Tharald Fosseide; Hans Christian Meyer |
| The present invention is related to a method for resolving contradicting output data from an Optical Character Recognition (OCR) system providing a conversion of pixelized documents into computer coded text as the output data, wherein the OCR output data comprises at least a first and second character listed as being likely candidates for an exemplar of a same sampled character instance from the pixelized document, by providing steps that identify locations of differences in graphical appearance between the candidate characters, and then using the location information to identify a corresponding locations in the sampled character instance. Based on correlation technique, this location information is used to select the correct candidate character as the identification of the sampled character instance. | ||||||
| 940 | METHOD OF AND APPARATUS FOR SEGMENTING FOREGROUND METHOD OF AND APPARATUS FOR SEGMENTING FOREGROUND AND BACKGROUND INFORMATION FOR OPTICAL CHARACTER RAND BACKGROUND INFORMATION FOR OPTICAL CHARACTER RECOGNITION OF LABELS EMPLOYING SINGLE LAYER RECURRECOGNITION OF LABELS EMPLOYING SINGLE LAYER RECURRENT NEURAL NETWORK ENT NEURAL NETWORK | PCT/US9512817 | 1995-10-05 | WO9612247A3 | 1996-05-30 | HOLEVA LEE F |
| A method and apparatus for processing a greyscale input of an image, particularly of a shipping label, into a binary output image in which foreground information is segmented from the background information and contrasts between adjacent regions having different background densities are obliterated is described. A neuron employing a 5 x 5 input neighborhood having a unique neuron activation function is shown. No explicit line process is employed. Output is biased toward a particular one of the output values by employing non-linear feedback as a function of both the grey scale value for the pixel corresponding to the label site being updated and the most recent value of the label site. The otherwise strong contribution from a gradient term in the energy function is suppressed by a shunting inhibition when the shunting inhibition function detects that the pixel lies on or near a boundary between adjacent regions of differing background intensities. | ||||||
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