Abstract: Techniques for capturing images of business cards, uploading the images to a designated computing device for processing and recognition are disclosed. A mechanism is provided to update extracted data from the images when there are any changes. Depending on implementation, there are a number of ways to capture images of business cards (e.g., via a phone camera, a PC camera, or a scanning device). A transmission means is provided to transport the images to the designated computing device for centralized management of integrated contact information for individual users. As a result, a user may access his/her updatable integrated contact information database anywhere anytime from a chosen device.

Abstract: An appropriate search is carried out even with images including a complicated layout structure, decorated characters, and so on.

Abstract: A computer implemented method for adaptive optical character recognition on a document with distorted characters includes performing a distortion-correction transformation on a segmented character of the document assuming the segmented character to be a candidate character. The method further includes comparing the transformed segmented character to the candidate character by calculating a comparison score. If the calculated score is within a predetermined range, the segmented character is identified with the candidate character. The method may be implemented in either of computer hardware configured to perform the method, or in computer software embodied in a non-transitory, tangible, computer-readable storage medium. Also disclosed are corresponding computer program product and data processing system.

Abstract: An image processing device including: an image acceptance unit accepting a first image and a second image; a perimeter measurement unit measuring a perimeter of an object image within the first image or an object image within the second image; an area measurement unit measuring an area of the object image within the first image or the object image within the second image; a first reference area generation unit generating a first reference area based on the perimeter and area measured; a datum point extraction unit extracting datum points from the first image and the second image; and a first match judgment unit making the datum points coincide with each other, and judging whether or not the object image within the first image and the object image within the second image are matched, based on densities of the first and second image within the first reference area.

Abstract: Devices, methods, and computer readable media for performing image orientation detection using image processing techniques are described. In one implementation, an image processing method is disclosed that obtains image data from a first image captured by an image sensor (e.g., from any image capture electronic device). Positional sensor data captured by the device and corresponding to the image data may also be acquired (e.g., through an accelerometer). If the orientation of the device is not reliably discernible from the positional sensor data, the method may attempt to use rotationally invariant character detection metrics to determine the most likely orientation of the image, e.g., by using a decision forest algorithm. Face detection information may be used in conjunction with, or as a substitute for, the character detection data based on one or more priority parameters. Image orientation information may then be included within the image's metadata.

Abstract: Systems and methods are operable to present text identified in a presented video image of a media content event. An exemplary embodiment receives a complete video frame that is associated with a presented video image of a video content event, wherein the presented video image includes a region of text; finds the text in the complete video frame; uses an optical character recognition (OCR) algorithm to translate the found text; and presents the translated text. The translated text may be presented on a display concurrently with the video image that is presented on the display. Alternatively, or additionally, the translated text may be presented as audible speech emitted from at least one speaker.

Abstract: Methods and several apparatus embodiments are disclosed operating Optical Characteristic Systems (OCS) in a container storage and/or transfer yard supporting the automated recognition of container codes displayed on various sides of the containers being stored and/or transferred. At least one processor may initiate an operational process by an OCS mounted on a container handler to create an operational result, select the operational process based upon an operational schedule and communicate with at least one OCS to receive an image of a container being handled by the container handler to at least partly create a container code estimate for a container inventory management system. A program system directing at least one computer implementing these operations, and may reside in computer readable memory, an installation package and/or a download server. The computer readable memory may or may not be accessibly coupled to the computer.

Abstract: Techniques described herein provide a method for automatically and intelligently creating and updating an OCR cache while performing OCR using a computing device. An image captured using a camera coupled to the computing device may be matched against prior images stored in the OCR cache. If a match is found, the OCR cache may be updated with new or better information utilizing the new image. The matched prior image may be retained in the OCR cache, or the new captured image may replace the matched prior image in the OCR cache. In one embodiment, techniques are described to remove or reduce glare before storing the image in the OCR cache. In some embodiments, glare is removed or reduced in the absence of performing OCR.

Abstract: A system and methods for progressive feature evaluation of an electronic document image to identify user supplied elements is disclosed. The system includes a controller in communication with a storage device configured to receive and accessibly store a generated plurality of candidate images. The controller is operable to analyze the electronic document image to identify a first feature set and a second feature set, wherein each of the first and second feature sets represent a different form feature, compare the first feature set to the second feature set, and define a third feature set based on the intersection of the first and second feature sets, wherein the third feature sets represents the user provided elements.

Abstract: A system, method, and computer-readable medium, is described that implements a resource navigation links tool that receives one or more inputs, extracts information from the inputs into a submission string, submits the submission string to a resource navigation links tool, and receives resource navigation links based on the submission string. Inputs types may include images, audio clips, and metadata. The inputs sources may be processed to extract information related to the image source to build the submission string.

Abstract: A system, method, and computer-readable medium, is described that implements a domain name registration suggestion tool that receives one or more inputs, extracts information from the inputs into a submission string, submits the submission string to a domain name suggestion tool, and receives domain name suggestions based on the submission string. Inputs types may include images, audio clips, and metadata. The inputs sources may be processed to extract information related to the image source to build the submission string.

Abstract: Techniques and systems are disclosed to perform, in some examples, the steps of receiving a note or an image of a note, imaging at least a portion of the note, determining a value of at least one field indicated by a predetermined identifier of the note through character and mark recognition, and storing information regarding the note in a memory. The information regarding the note that may be stored in a memory may be forwarded to a regulatory agency or an external entity for reporting or record-keeping.

Abstract: The present invention provides a document management device including a file receiving device for receiving a document; an optical identification device for performing optical identification on a non-textural content in the received document; a feature mark identifier for setting up a feature mark for the document; and a database for storing the document, which can be output from the database directly or through the file receiving device. The present invention also discloses a document management method. The device and method of the present invention have functions of identification, classification, search, and save.

Abstract: An apparatus for pattern processing exhibits a discretizing device for discretizing an input pattern, a device for generating a number n of discrete variants of the quantized input pattern in accordance with established rules, a number n of input stages (50) for generating, for each input-pattern variant, an assigned output symbol from a set of symbols, and a selection unit (60) for selecting a symbol by way of selected symbol relating to the input pattern from the n generated output symbols in accordance with an established selection rule. The apparatus according to the invention and the corresponding process according to the invention enable a faster, more precise and more flexible recognition of patterns, in which connection it may be a question of spatial image patterns, temporally variable signal patterns and other input patterns.

Abstract: Locations of word images corresponding to words in a document image are ascertained. The word images are grouped into clusters. For each of multiple of the clusters, a respective compressed word image cluster is determined based on a joint compression of respective ones of the word images that are grouped into the cluster. The positions of the word images in the document image are associated with the respective ones of the compressed word image clusters corresponding to the clusters respectively containing the word images.

Abstract: An information processing apparatus encodes an input pattern to a code including a plurality of bits, calculates reliabilities for respective bits of the code, generates a similar codes each similar to the code based on the reliabilities, and recognizes the input pattern based on the code and the similar codes.

Abstract: According to one embodiment, a pattern recognition method includes calculating similarities of the input pattern with respect to respective categories, converting the calculated similarities of the input pattern with respect to the respective categories into first evaluation values based on a first table which indicates a relationship between similarities for respective categories and first evaluation values, calculating second evaluation values based on the calculated first evaluation values for the respective categories and prior probabilities for the respective categories stored in a second table indicating prior probabilities of the respective categories, and selecting a category corresponding to a maximum value of the calculated second evaluation values.

Abstract: According to one embodiment, an electronic apparatus includes a text recognition module, a group creation module, a group extraction module, an arrangement module, and a movie generator. The text recognition module recognizes a character string in a plurality of still images. The group creation module creates a plurality of groups by classifying the plurality of still images. The group extraction module extracts, from the plurality of groups, groups including a still image which meets a predetermined condition. The arrangement module arranges still images included in the extracted groups in a predetermined order, and inserts a still image included in the extracted groups and including the character string at a predetermined position of the still images which are arranged. The movie generator generates movie data for successively displaying the arranged still images in the extracted groups.

Abstract: Disclosed are an apparatus and a method for extracting circumscribed rectangles of one or more characters in a transplantable electronic document. The apparatus comprises a command and resource extraction device for extracting text-segment-related commands and original font resources; a division device for dividing the original font resources into fonts; a font replacement device for seeking fonts, and obtaining font resources after font replacement; a measurement information extraction device for extracting character shape measurement information of the characters; and a calculation device for calculating the circumscribed rectangles of the characters.

Abstract: An image determination apparatus includes a first extraction unit, a second extraction unit, a calculation unit, and a correction unit. The first extraction unit extracts a first set from an image including linear components that are line-shaped components. The first set includes a linear component extending along a first direction and a linear component extending along a second direction intersecting the first direction. The second extraction unit extracts a second set including a linear component extending along a direction different from the first and second directions. The calculation unit calculates a likelihood for the first set extracted by the first extraction unit in accordance with a relationship between linear components included in the first set. The likelihood is a likelihood of a table being formed. The correction unit corrects the likelihood calculated by the calculation unit in accordance with a relationship between the first set and the second set.

Abstract: A device is configured to capture an image of a monitoring device display, perform optical character recognition to identify alphanumeric data in the image, apply a device profile to map each identified alphanumeric datum to a parameter associated with the monitoring device; and store each datum along with its associated parameter.

Abstract: A service can perform optical character recognition (OCR) on an image of a record to determine a first set of information items about the record. A second set of information items can be identified that are likely part of the record but not determinable from performing OCR on the image. Another resource can be utilized to determine the second set of information items. A classification for the record can be determined based on first and second sets of information items. The record can be associated with a financial resource of the user based at least in part on the classification.

Abstract: An image and supplementary information of the image, such as a photographing point and time, are input by an image input section and are stored in an image data storage section. Character recognition in the image is performed by a character recognition section, and the recognition result is stored in a character recognition result storage section. An analysis section extracts object character information relevant to an object from the image, the supplementary information, and the character recognition result on the basis of the analysis conditions input in a designation section to thereby analyze an object, and the analysis result is output to a result output section. Accordingly, a change in the object can be analyzed by analyzing a change in character patterns indicating the identical object.

Abstract: An image forming apparatus includes: a storage unit including unique information identify to an apparatus main unit; a setting unit including setting information of the apparatus main unit instead of the unique information; a pattern addition unit that adds an addition pattern based on a unique pattern generated from the unique information or a setting pattern generated from the setting information to image data that is input to the apparatus main unit; an image formation unit that forms a visual image of the image data and an addition image of the addition pattern which is hardly recognized by eyes on a recording medium; and a control unit that changes the addition pattern formed by the image formation unit from the unique pattern to the setting pattern when an error depending on the unique information occurs.

Abstract: A method for determining a confidence level to be used in identifying a vehicle. The method includes receiving a vehicle image, extracting a license plate image from the at least one vehicle image, determining a license plate number and associated confidence level based upon the license plate image, and comparing the associated confidence level against a confidence threshold. If the associated confidence level is below the confidence threshold, the method further includes extracting auxiliary data from the at least one vehicle image, corresponding the extracted auxiliary data and a set of stored auxiliary data, and updating the associated confidence level to produce an updated confidence level based upon the correspondence of the extracted auxiliary data and the set of stored auxiliary data.

Abstract: A character area extracting device includes a reflective and non-reflective area separation unit separating image data into reflective and non-reflective areas, and binarizing the image data by changing a first threshold value when it is inappropriate; a reflective area binarizing unit separating the reflective area into character and background areas, and binarizing it by changing a second threshold value when it is inappropriate; a non-reflective area binarizing unit separating the non-reflective area into the character and background areas, and binarizing it by changing a third threshold value when it is inappropriate; a reflective and non-reflective area separation evaluation unit; and a line extracting unit connecting the character areas of the reflective and non-reflective areas and extracting positional information of the connected character areas in the image data.

Abstract: A method of monitoring input devices to discover units of work and type of work includes recording uses of input devices of a computer, analyzing the recorded uses against pre-defined use patterns to determine sets of the recorded uses that correspond to one of a plurality of units of work, and outputting an indicator indicating which of the units of work have occurred. A method of accessing a call center includes performing speech to text transcription on audio recordings from the center, determining an identifier identifying an operator for a call from the text, estimating a phase of the call based on the text, recording ant entry including the identifier, the phase, and a time period of the phase, correlating the entry with another entry including information on an application run during the estimated phase to generate a correlated entry, and determining quality level of operator based on correlated entry.

Abstract: An identification method and apparatus of confusable character are provided. The method involves: the detected character image is identified to gain the initial character information which is corresponding to the character image; the step change times of the corresponding external outline of the character image are counted if the initial character information is the confusable character; the final character information corresponding to the character image is confirmed according to the step change times; The final character information of the character image can be known conveniently according to the step change times, therefore the corresponding correct character information of the character image can be identified more precisely. The possibility of wrong identification of the character image because of the appearing confusable character can be reduced, and the identification precision rate of the confusable character can be improved.

Abstract: A system and a method for searching for text in one or more images are provided. The method, performed by a computing device, comprises receiving an input. The computing device generates a search parameter from the input, the search parameter comprising the text. Optical character recognition is applied to the one or more images to generate computer readable text. The search parameter is applied to search for the text in the computer readable text and, if the text is found, an action is performed.

Abstract: Methods, apparatuses, and computer program products are herein provided for providing a REVV system that is configured to provide an MVS that is operable on a mobile terminal. One example method may include causing a plurality of vector word residuals to be aggregated for at least one visual word using local feature descriptors extracted from an image. The method may further include causing the dimensionality of the aggregated at least one vector word residual for each visual word to be reduced by using a classification aware linear discriminant analysis. The method may further include computing, using a processor, a weighted correlation for at least one compact image signature that is binarized from the aggregated at least one vector word residual when compared to a list of candidates. The method may further include determining a ranked list of candidates based on the computed weighted correlation.

Abstract: An apparatus, method, system and computer-readable medium are provided for generating one or more descriptors that may be associated with content. A teaser for the content may be identified based on contextual similarity between words and/or phrases in the segment and one or more other segments, such as a previous segment. An optical character recognition (OCR) technique may be applied to the content, such as banners or graphics associated with the content in order to generate or identify OCR'd text or characters. The text/characters may serve as a candidate descriptor(s). One or more strings of characters or words may be compared with (pre-assigned) tags associated with the content, and if it is determined that the one or more strings or words match the tags within a threshold, the one or more strings or words may serve as a candidate descriptor(s). One or more candidate descriptor identification techniques may be combined.

Abstract: Embodiments of the present invention comprise methods and systems for identifying uniformly colored regions in a digital image.

Abstract: An expression, for which complementary information can be outputted, is extracted from a document obtained by character recognition for an image. Complementary information related to the extracted expression is outputted when a character or a symbol adjacent to the beginning or the end of the extracted expression is not a predetermined character or symbol. Output of complementary information related to the extracted expression is skipped when the character or symbol adjacent to the beginning or the end of the extracted expression is the predetermined character or symbol. A problem that complementary information unrelated to an original text is outputted is prevented even when a false character recognition occurs.

Abstract: Computer searchable annotated formatted documents are produced by correlating documents stored as a photographic or scanned graphic representations of an actual document (evidence, report, court order, etc.) with textual version of the same documents. A produced document will provide additional details in a computer data structure that supports citation annotation as well as other types of analysis of a document. The computer data structure also supports generation of citation reports and corpus reports. A computer method of creating searchable annotated formatted documents including citation and corpus reports by correlating and correcting text files with photographic or scanned graphic of the original documents. Data structures for correlating and correcting text files with graphic images. Generation of citation reports, concordance reports, and corpus reports. Data structures for citation reports, concordance reports, and corpus reports generation.

Abstract: A novel system includes: a first proof reading tool for performing carpet proof reading on text data; a second proof reading tool for performing side-by-side proof reading on the text data; a storage unit configured to store a log of proof reading operations having been performed by using the first and second proof reading tools; and an analysis unit configured to determine, for each attribute serving as units in which carpet proof reading is performed with the first proof reading tool, whether or not to use the first proof reading tool in proof reading of the attribute, by comparing a first estimated value of a time taken when proof reading is performed by using the first proof reading tool with a second estimated value of a time taken when proof reading is performed by using the second proof reading tool without using the first proof reading tool, the first and second estimated values being calculated on the basis of the log.

Abstract: A system and method of providing data for a patent management system is proposed. The system presents one or more data fields of interest to a user and the method comprises downloading at least one patent document from an external patent database; applying optical character recognition to the downloaded document to provide a text-readable version of the at least one patent document; automatically applying electronic text analysis to the text-readable version to extract one or more data elements associated with a field of interest, and transmitting the data elements to a user.

Abstract: In one example, a system is provided. The system includes a portable, in-field unit including: a tag reader to acquire an ID tag identifier from a tag located in or on a physical item positioned within functional range of the in-field unit tag reader; a digital processor arranged for executing software code stored in the in-field unit responsive to the acquired ID tag identifier, the stored software code including—a customer application layer; and a database adapter component configured to provide database services to the processor; wherein the database services include accessing a stored database to acquire stored data associated with the acquired ID tag identifier.

Abstract: The present invention provides an information processing apparatus including combination generating means for getting a first feature quantity of N dimensions, N being an integer of at least two, from first information prepared for execution of learning and use the first feature quantity of N dimensions to generate at least two of a first feature quantity combination that are not greater than N dimensions of the first feature quantity; and learning processing executing means for computing a correlation coefficient between the plurality of first feature quantity combinations generated by the combination generating means and a learning model feature quantity matching each dimension of the plurality of first feature quantity combinations and, by use of the first correlation coefficient, classify the first information, thereby executing learning processing for classifying predetermined second information.

Abstract: Aspects of the present invention are related to systems and methods for rendering graphical objects in a printing system. According to one aspect of the present invention a graphic list may be partitioned, and the graphic-list partitions may be rendered “out-of-order” or concurrently.

Abstract: A system and method for associating optical character recognition text data with source images are provided. In one embodiment, an association module of a computing system is configured to receive text data from an OCR engine; associate the text data with a source image; and output associated optical character recognition data including the source image, the text data associated with the source image, and a plurality of referrers. Each referrer of the plurality of referrers may indicate a different image reference. The plurality of referrers are configured to cause the viewer application to output the text data associated with the source image to each instance of the source image that is rendered as part of the fixed-layout document in accordance with the multiple image references.

Abstract: An image processing apparatus includes an extracting unit, a representative-image generating unit and a vector converting unit. The extracting unit extracts pixel blocks from image data. The representative-image generating unit generates representative images from the pixel blocks extracted by the extracting unit, based on a similarity between the pixel blocks. The vector converting unit converts the representative images generated by the representative-image generating unit into vector information.

Abstract: In one embodiment, a character recognition result verification apparatus has a group generation section and a verification image generation section. The group generation section generates a group including a plurality of character images recognized as the same character from a document image including a plurality of character images. The verification image generation section generates a verification image including a first region and a second region by superimposing the plurality of character images included in the generated group. The first region corresponds to a pixel having the same pixel value in all of the plurality of character images. The second region corresponds to a pixel having the same pixel value in a part of the plurality of character images.

Abstract: A system, method and computer program product are provided for detecting unwanted data. In use, data is rendered, after which it may be determined whether the rendered data is unwanted, utilizing either a neural network or optical character recognition.

Abstract: Systems and methods described herein disclose searching the content of a recorded presentation layer protocol session including the steps of storing, a plurality of packets sent to a client device, rendering, by a protocol engine, at least one stored packet in the plurality of stored packets to a local video buffer and analyzing the at least one rendered packet with wherein analyzing includes at least scanning the at least one rendered packet with an optical character recognizer executing on the server. The systems and methods described herein also disclose using the optical character recognizer to generate a word associated with the at least one packet, using a post processing component to generate identification data associated with the generated word associated with the at least one packet, and storing the generated word associated with the at least one packet and storing the identification data associated with the generated word.

Abstract: Systems, devices and methods operative for identifying a reference within a figure and an identifier in a text associated with the figure, the reference referring to an element depicted in the figure, the reference corresponding to the identifier, the identifier identifying the element in the text, placing the identifier on the figure at a distance from the reference, the identifier visually associated with the reference upon the placing, the placing of the identifier on the figure is irrespective of the distance between the identifier and the reference.

Abstract: The invention discloses a method for outputting consecutive characters in a video-recording mode. The method includes obtaining a first image and a second image from an object, comparing the first image and the second image to obtain a third image which is the overlapping part of the first image and the second image, removing the third image from the second image to generate a fourth image, integrating the fourth image with the first image to obtain a fifth image and recognize characters on the fifth image by OCR software and output the characters of the fifth image.

Abstract: A storage medium storing a character recognition program for causing a computer to execute a process, the process including comparing a structure of a target pattern regarded as one character with a structure of a one-character pattern stored in a storage section and determining whether the target pattern is a pattern including a plurality of characters, on the basis of a result of the comparing.

Abstract: A system and method is provided wherein, in one aspect, a number of different elements are presented to a user. The user is instructed to pick the elements that are the most related to one another. If the user selects the two most related elements, the user is presented with access to additional information, such as a screen for creating an email account. The system and method are intended to allow access to information by humans, but not remote computers emulating a human.

Abstract: An image processing device includes a storage module, character recognition module, a circumscribed rectangle extraction module, a ratio extraction module, and a character size calculation module. The storage module stores a reference ratio between a reference size of a reference circumscribed rectangle and a reference character size in a reference character image representing a reference character in association with a reference character identification code which uniquely identified the reference character. The character recognition module recognizes a character image in an image to get a character identification code from the recognized character image. The circumscribed rectangle extraction module extracts a circumscribed rectangle of the character image. The ratio extraction module extracts the reference ratio corresponding to the reference character identification code stored in the storage module based on the character identification code.

Abstract: Each object in input image data is separated into an area by an image area separation unit. An area determined to be a character area based on the image area separation processing is smoothened by an MTF correction unit. The resulting data is then binarized by a binarizing unit. The binarized data is split according to types of objects, and characters and line drawings are vectorized and stored in a storage unit. Alternatively, the characters and line drawings are printed out.