Abstract: An image pickup element capture an image of an object, and detailed unique information relating to the captured image is automatically associated with the image through pattern recognition so that the image is easily managed. A pattern detector performs the pattern recognition on an image obtained through a pre-photographing operation, and a result of the recognition is stored in a memory. A code comparator compares stored a preceding recognition result with the latest recognition result obtained through the pattern recognition performed using the pattern detector. In accordance with a result of the comparison, the stored recognition result is updated. When it is determined that a predetermined pattern is not included in the image obtained using the image pickup element, the recognition result stored in the memory is associated with the captured image.

Abstract: A method, apparatus and program for proofreading a document. The information processor includes a first storage unit for storing output information which includes information text and positional information obtained by performing Optical Character Recognition (OCR) on a source manuscript image. A second storage unit for storing a document file that is proofread by a user, wherein the document file is generated by reading the OCR-processed text according to the order of reading the output information A line movement detection unit for detected movement of a line which includes text in the document file based on the proofreading performed by the user on the document file. A merge unit for reflecting result of the proofreading of the document file in the output information.

Abstract: The technology of the present disclosure includes computer-implemented methods, computer program products, and systems to filter images before transmitting to a system for optical character recognition (“OCR”). A user computing device obtains a first image of the card from the digital scan of a physical card and analyzes features of the first image, the analysis being sufficient to determine if the first image is likely to be usable by an OCR algorithm. If the user computing device determines that the first image is likely to be usable, then the first image is transmitted to an OCR system associated with the OCR algorithm. Upon a determination that the first image is unlikely to be usable, a second image of the card from the digital scan of the physical card is analyzed. The optical character recognition system performs an optical character recognition algorithm on the filtered card.

Abstract: In one embodiment, an uploaded multimedia object comprising a photo image or video is subjected to computer vision algorithms to detect and isolate objects within the multimedia object, and the isolated object is searched against a photographic location database containing images of a plurality of locations. Upon detecting a matching object, the location information associated with the photograph in the database containing the matching object may be leveraged to automatically check the user in to the associated location.

Abstract: A method to secure unique information about a handwritten document and to provide verification of document's authenticity, integrity and non-repudiation. The method includes the following steps: creating a document having an area of interest containing information, segmenting the area of interest on the document into a plurality of elements, obtaining the average gray scale of each element, inserting the average gray scale of each element into an identifier, and attaching the identifier to the document.

Abstract: A system for document processing including decomposing an image of a document into at least one data entry region sub-image, providing the data entry region sub-image to a data entry clerk available for processing the data entry region sub-image, receiving from the data entry clerk a data entry value associated with the data entry region sub-image, and validating the data entry value.

Abstract: A system and method for script and orientation detection of images using artificial neural networks (ANNs) are disclosed. In one example, textual content in the image is extracted. Further, a vertical component run (VCR) and horizontal component run (HCR) are obtained by vectorizing each connected component in the extracted textual content. Furthermore, a zonal density run (ZDR) is obtained for each connected component in the extracted textual content. In addition, a concatenated vertical document vector (VDV), horizontal document vector (HDV), and zonal density vector (ZDV) is computed by normalizing the obtained VCR, HCR, and ZDR, respectively, for each connected component. Moreover, the script in the image is determined using a script detection ANN module and the concatenated VDV, HDV, and ZDV of the image. Also, the orientation of the image is determined using an orientation detection ANN module and the concatenated VDV, HDV, and ZDV of the image.

Abstract: A handheld scanner incorporates vision software to allow the handheld scanner to be trained for OCR. The handheld scanner can include a user interface to allow a user to associate an image of a mark with electronic data for the mark. The user interface, along with a range finder, can also be used to influence variables that affect the quality of an image scan, thereby improving the quality of results for the image scan and/or decode process.

Abstract: The technology is directed to determining a class associated with an image. In some examples, a method determines the class associated with an image. The method can include determining a segmentation score for an image segment based on a comparison of the image segment and a region of an image. The region of the image can be associated with the image segment. The method further includes determining a confidence score for the image segment based on the segmentation score and a classification score. The classification score can be indicative of a similarity between the image segment and at least one class. The method further includes determining a class associated with the image based on the confidence score. The method further includes outputting the class associated with the image.

Abstract: A computer-implemented method for providing a text-based representation of a region of interest of an image to first is provided that includes a step of identifying text zones within the image, each text zone including textual content and having a respective rank assigned thereto based on an arrangement of the text zones within the image. The method also includes determining a processing sequence for performing optical character recognition (OCR) on the text zones. The processing sequence is based, firstly, on an arrangement of the text zones with respect to the region of interest and, secondly, on the ranks assigned to the text zones. The method further includes performing an OCR process on the text zones according to the processing sequence to progressively obtain a machine-encoded representation of the region of interest, and concurrently present the machine-encoded representation to the user, via an output device, as the text-based representation.

Abstract: An image processing apparatus includes: a recognition unit that performs character recognition on an image including at least one character and that obtains a score indicating a recognition accuracy of at least one character region extracted through the character recognition; a local blurring-degree computation unit that computes a first degree of blurring of the at least one character region; and a blurring-degree computation unit that computes a second degree of blurring of the image by using the score and the first degree of blurring of the at least one character region.

Abstract: A technique that uses repetitive and reliably recognizable parts of handwriting, during digital handwriting data entry, to trigger recognition of digital ink and to repurpose handwriting task area properties. In one example embodiment, this is achieved by drawing one or more delayed strokes of a desired sub-word unit using a stylus on a touch screen. An associated data of the drawn one or more strokes is inputted via the touch screen into a handwriting recognition engine. A first trigger stroke in the drawn one or more strokes that can be used to trigger the sub-word unit recognition by the handwriting recognition engine is then determined. The sub-word unit recognition is then triggered for the drawn one or more strokes based on the determined first trigger stroke by the handwriting recognition engine.

Abstract: Systems and methods may perform processing associated with receiving, with a capture module in communication with a processor, data. Processing may be performed associated with converting, with an optical character recognition (OCR) module in communication with the capture module and the processor, the data into machine readable data. Processing may be performed associated with extracting, with a processing module in communication with the OCR module and the processor, relevant data from the machine readable data. Processing may be performed associated with populating, with the processing module, a field in a report with the relevant data.

Abstract: A method and apparatus are provided for recognizing characters in a portable terminal with a scan module. Scanned image data is generated by the scan module by scanning a scan target through a scanning-light input/output panel provided on an external surface of the portable terminal as the portable terminal moves across the scan target. Part of the scanned image data is deleted when a current moving speed of the portable terminal is less than a lower limit of an optimal scan speed range, and character recognition is performed on remaining scanned image data. Image data most similar to the scanned image data is detected from a previously stored correction image database when the current moving speed is greater than an upper limit of the optimal scan speed range, and characters corresponding to the detected image data are output as character recognition results.

Abstract: A feature section including a feature of a candidate region but not including a feature of a related large region is set as for a style type different in feature from the related large region among a plurality of style types, with respect to each index candidate region. At least one or both of the large regions and the candidate regions having the feature included in the set feature section are grouped. An index evaluation degree is calculated, based on the grouped result, with respect to each candidate region. It is determined whether or not a logical element of each candidate region is an index, based on the calculated index evaluation degree.

Abstract: Embodiments herein provide computer-implemented techniques for allowing a user computing device to extract financial card information using optical character recognition (“OCR”). Extracting financial card information may be improved by applying various classifiers and other transformations to the image data. For example, applying a linear classifier to the image to determine digit locations before applying the OCR algorithm allows the user computing device to use less processing capacity to extract accurate card data. The OCR application may train a classifier to use the wear patterns of a card to improve OCR algorithm performance. The OCR application may apply a linear classifier and then a nonlinear classifier to improve the performance and the accuracy of the OCR algorithm. The OCR application uses the known digit patterns used by typical credit and debit cards to improve the accuracy of the OCR algorithm.

Abstract: Comparing extracted card data from a continuous scan comprises receiving, by one or more computing devices, a digital scan of a card; obtaining a plurality of images of the card from the digital scan of the physical card; performing an optical character recognition algorithm on each of the plurality of images; comparing results of the application of the optical character recognition algorithm for each of the plurality of images; determining if a configured threshold of the results for each of the plurality of images match each other; and verifying the results when the results for each of the plurality of images match each other. Threshold confidence level for the extracted card data can be employed to determine the accuracy of the extraction. Data is further extracted from blended images and three-dimensional models of the card. Embossed text and holograms in the images may be used to prevent fraud.

Abstract: A method for routing a confirmation of receipt of a facsimile or portion thereof according to one embodiment of the present invention includes analyzing text of a facsimile for at least one of a meaning and a context of the text; and routing one or more confirmations to one or more destinations based on the analysis.

Abstract: A system includes an imaging device and an acquisition layer. The imaging device acquires an image. The acquisition layer is logically located between a source manager and the imaging device, the source manager being called by an application when a user of the system requests to acquire the image. The acquisition layer includes imaging acquisition logic that receives the image from the imaging device and performs optical character recognition (OCR) that extracts machine editable text from the image. The acquisition layer forwards the image to the application and makes the machine editable text available to the user.

Abstract: Embodiments of a computer system, a method and a computer-program product (e.g., software) for use with the computer system are described. These embodiments allow a user to provide an image of a document for use with software, such as an image of a financial document for use with financial software. In particular, the user can provide the image of the document, for example, by taking a picture of the document using a cellular telephone. This image may be converted into an electronic format that is suitable for text and numerical processing using a character-recognition technique, such as optical character recognition or intelligent character recognition. Errors in the electronic version of the document, if present, may be identified and corrected by comparing the electronic version to information maintained by a third party. This information may be accessed based at least on one or more items in the electronic version of the document.

Abstract: A method for deconvolution of digital images includes obtaining a degraded image from a digital sensor, a processor accepting output from the digital sensor and recognizing a distorted element within the image. The distorted element is compared with a true shape of the element to produce a degrading function. The degrading function is deconvolved from at least a portion of the image to improve image quality of the image. A method of indirectly decoding a barcode includes obtaining an image of a barcode using an optical sensor in a mobile computing device, the image comprising barcode marks and a textual character. The textual character is optically recognized and an image degrading characteristic is identified from the textual character. Compensating for the image degrading characteristic renders previously undecodable barcode marks decodable. A system for deconvolution of digital images is also included.

Abstract: Embodiments include an apparatus, device, system, and method. In an embodiment, a human wearable apparatus is provided. The apparatus includes an annotation environment capture device operable to generate information indicative of a recognizable aspect of an item and an annotating device operable to generate information indicative of a user expression associated with the recognizable aspect of the item.

Abstract: Disclosed are various embodiments for performing an analysis on images of a product packaging. Capture of at least one image of at least one side of a packaging in initiated. An image analysis is performed on the at least one image. Product attributes are detected based at least upon the at least one image analysis and associated with the product in a data store.

Abstract: In one embodiment, a method includes receiving an image of a document; performing optical character recognition (OCR) on the image; extracting an address of a sender of the document from the image based on the OCR; comparing the extracted address with content in a first database; identifying complementary textual information in a second database based on the address; and at least one of: extracting additional content from the image of the document; correcting one or more OCR errors in the document using the complementary textual information, and normalizing data from the document prior to determining a validity of the document using at least one of the complementary textual information and predefined business rules. At least one of the aforementioned operations is performed using a processor of a mobile device. Exemplary systems and computer program products are also disclosed.

Abstract: A system for imaging an object, the system including: a detection zone; a first unit adapted to selectively emit radiation of at least one first wavelength and radiation of at least one second, different wavelength for at least partly illuminating the object in the detection zone; a second unit adapted to capture at least partial images of the illuminated object; and an aperture placed in an optical path between the detection zone and the second unit. The aperture includes: a first, central area adapted to transmit radiation of at least the first wavelength(s) and the second wavelength(s); and a second area surrounding said first area, which second area is adapted to block radiation of the second wavelength(s), but transmit radiation of the first wavelength(s). Also, an imaging method, and use of a diaphragm in a reverse vending machine.

Abstract: A method for monitoring loading and unloading procedures in the cargo holds of an aircraft, in which method the actual states that are present in each cargo hold are acquired. Furthermore, the invention relates to a device as well as to a computer program product for implementing the method according to the invention.

Abstract: A method for automatically typesetting patent images extracts a brief introduction of each patent image from a description part of a patent document, and records a keyword of the brief introduction. The method distinguishes an image label of each patent image from an image part of the patent document. The method rotates the patent image by ninety degrees clockwise in response that the image label of the patent image does not contain the keyword, and outputs the rotated image onto a display device.

Abstract: A pressing unit configured to press a supporting surface for supporting a sheet, and a carriage configured to hold a sensor unit and to move on the pressing unit are integrated into one unit. There is provided a movement mechanism configured to move the unit between a first position in which the pressing unit presses the supporting surface during reading and a second position in which the pressing is released during movement of the sheet on the supporting surface.

Abstract: Architectures and techniques are described to determine a reading level of an electronic book. In particular, words, phrases, clauses, and parts of speech of an electronic book may be tagged and used to determine the reading level of the electronic book. In some cases, the reading level of the electronic book is based on a level of complexity of sentences of the electronic book and a level of complexity of words of the electronic book.

Abstract: Techniques for ensuring maximum readability of barcodes displayed in pixel displays. The techniques use the characteristics of the pixel display to determine the form of the barcode in the pixel display. Determination of the form includes determining a size of the barcode which renders the barcode's elements easily readable by a barcode reader and a shape, and or orientation of the barcode in the display which permits the entire barcode to be displayed in the display. Additionally, in a barcode with redundant information, the amount of redundant information may be reduced in the displayed barcode. The techniques may be applied to both one-dimensional and two-dimensional barcodes.

Abstract: An image scanning apparatus includes a housing. A first image sensor (linear scan imager) is attached at a first position along the housing. The first image sensor is configured and adapted to scan an image. A second image sensor (area scan imager) is attached at a second position along the housing. The second image sensor is configured and adapted to scan an image to detect movement of the apparatus in the X and Y axis. Movement in the Y axis of the apparatus as detected by the second image sensor is utilized to trigger the first image sensor. Movement in the X axis of the apparatus as detected by the second image sensor is utilized to correct image defects (e.g. skew) of the image captured by the first image sensor thereby allowing the second image sensor to capture a 2D inspection area.

Abstract: A method for automated user information provision using an image includes requesting at least one user information image in response to receiving a user information form from a requesting entity over a network. The at least one user information image is received from a camera. The at least one user information image is analyzed using a processor to determine that the at least one user information image includes requested user information in at least one request section of the user information form. The requested user information is automatically provided into the at least one request section of the user information form. The user information form including the requested user information in the at least one request section is displayed on a display. The user information form may then be sent over the network to provide the requested user information to the requesting entity.

Abstract: Embodiments of the present invention disclose a copying method that combines optical character recognition (OCR) technology and a search in order to improve the quality of a copy despite the presence of degrading factors. In one embodiment, the search comprises an Internet search and is used to reconstruct/enhance the copy digitally before outputting the copy to print or some other digital medium. Advantageously, a copy produced using the techniques of the present invention may be at least equal to if not better than the original document copied.

Abstract: A method and system for creating and using a virtual dressing room, by superimposing a non-linearly stretchable object image onto a base image in a display screen of a communication device, the images being planar. The method comprises scanning an encoded indicium associated with the object image, accessing and uploading a URL associated with the object image, the object image including a plurality of object image critical points, accessing the base image at the communication device, the base image including a plurality of base image critical points respectively corresponding to the object image critical points, re-mapping the object image via global transformation of coordinates associated with the object image critical points, such that the re-mapped object image critical points coincide with the respective base image critical points, and superimposing the re-mapped object image onto the base image for display at the display screen.

Abstract: A medication order processing system (10) includes a plurality of nursing stations (12, 14, 16). Physician orders prescribing medications for patients are faxed from the nursing stations to a computer which is included in an interchange fax station (28) located at the pharmacy. The interchange fax station is operative to prioritize the orders and to present them to pharmacists working at pharmacist work stations (40, 42). Pharmacist work stations are enabled to review, electronically annotate, and input orders reviewed at the pharmacy work station into a pharmacy order system of the facility. Input to the pharmacy order system results in the medication being administered to the patient. Data related to each patient to which a medication order pertains is captured from screen outputs from the pharmacy order system. The captured data is analyzed to produce data that is stored in a database of the medication order system in correlated relation with image data corresponding to images of medication orders.

Abstract: Text is extracted from a source image of a publication using an Optical Character Recognition (OCR) process. A document is generated containing text segments of the extracted text. The document includes a control module that responds to user interactions with the displayed document. Responsive to a user selection of a displayed text segment, a corresponding image segment from the source image containing the text is retrieved and rendered in place of the selected text segment. The user can select again to toggle the display back to the text segment. Each text segment can be tagged with a garbage score indicating its quality. If the garbage score of a text segment exceeds a threshold value, the corresponding image segment can be automatically displayed instead.

Abstract: A system for providing an internet fax service has an engine to process a raw fax document, received for a user of the internet fax service, using digital character recognition to produce recognized text or an associated formatted text document. A conversion engine may convert the raw fax to native file format being one of a) word processor format, b) spreadsheet format, c) slide presentation format, or d) another format that can be read on a user interface. An internet server is to make the native file format document available to the user over an internet. A fax content processing unit is to perform keyword scanning of the recognized text, and then allows the user to search for stored faxes by keyword. Other embodiments are also described.

Abstract: An improved automatic image capture system for an intelligent mobile device having a camera guides a user to position the camera so only a single image needs to be automatically captured. Syntactic features, using a view finder on a display of the intelligent mobile device, are used to guide a user to maximize the occupancy of the view finder with the document so that the document is maximized within the view finder based upon detected corners of the document. When occupancy is maximized, the camera automatically captures the image of the document for post-processing using semantic knowledge of the document. A confidence level is computed based on the semantic knowledge to qualify an image with greater accuracy, and without user intervention, prior to transmission to a remote site.

Abstract: Systems, methods and computer program products on storage devices for shape clustering and applications in processing various documents, including an output of an optical character recognition (OCR) process. The output of an OCR process is classified into a plurality of clusters of clip images and a representative image for each cluster is generated to identify clusters whose clip images were incorrectly assigned character codes by the OCR process.

Abstract: A form processing method for extracting data items from a form previously digitized in the form of a digital image, the method comprising prompting a user to indicate a location of one or more physical fields each physical field relating to a data item of specific type; receiving one or more indications provided by the user on the location of the physical fields; and identifying content and location of the data items of the physical fields using related data formats.

Abstract: Image data, such as from a mobile phone camera, is analyzed to determine a colorfulness metric (e.g., saturation) or a contrast metric (e.g., Weber contrast). This metric is then used in deciding which of, or in which order, plural different image recognition processes should be invoked in order to present responsive information to a user. A great number of other features and arrangements are also detailed.

Abstract: A system and method for automated address directory updating. A method includes determining address information corresponding to a destination address for a parcel, the address information including a digitized address. The method includes determining if a previous address entry proposal, corresponding to the address information and having a counter, exists in a database. The method includes, if the previous address entry proposal does not exist, then storing the address information in a new address entry proposal and initializing a counter for the new address entry proposal. The method includes, if the previous address entry proposal does exist, then adjusting the counter for the previous address entry proposal. The method includes adding the address information to a first addressing database when the counter has reached a threshold.

Abstract: An arrangement for, and a method of, electro-optically reading different types of targets by image capture, include an imaging assembly for capturing an image of a target over a field of view, and a controller for automatically distinguishing between the different types of targets, for decoding a symbol if the target being imaged is a symbol target, and for identifying and processing individual fields on a form if the target being imaged is a form target.

Abstract: Example methods and apparatus for auditing signage are disclosed. A disclosed example method involves directing an operator to a signage location and capturing an image of a signage at the signage location. The example method also includes detecting an actual characteristic of the signage based on the image and comparing the actual characteristic to an expected characteristic.

Abstract: A method for text recognition includes generating a number of text hypotheses for an image, for example, using an HMM based approach using fixed-width analysis features. For each text hypothesis, one or more segmentations are generated and scored at the segmental level, for example, according to character or character group segments of the text hypothesis. In some embodiments, multiple alternative segmentations are considered for each text hypothesis. In some examples, scores determined in generating the text hypothesis and the segmental score are combined to select an overall text recognition of the image.

Abstract: A system and method to identify pictures in documents. An image representing a page of a document is received. The image is analyzed to identify text objects in the page. A masked image is generated by masking out regions of the image including the text objects in the page. Groups of pixels in the masked image are identified, wherein a respective group of pixels corresponds to at least one picture in the page. When there is one or more groups of pixels, regions for pictures are identified based on the one or more groups of pixels. Metadata tags for the pictures are stored, wherein a respective metadata tag for a respective picture includes information about a respective bounding box for the respective picture.

Abstract: Methods and system employing the same for finding repeated structure for data extraction from document images are provided. A reference record and one or more reference fields thereof are identified from a document image. One or more candidate fields are generated for each of the reference fields. One or more best candidate records from the candidate fields are selected using a probabilistic model and an optimal record set is determined from the best candidate records.

Abstract: Laser diode mode techniques are described. In one or more implementations, one or more laser diodes of a computing device are caused to operate below a lasing threshold to illuminate at least part of a physical surroundings of the computing device. One or more images of the illuminated physical surroundings are captured by a camera of the computing device and one or more inputs are recognized from the captured one or more images for interaction with a user interface displayed by the computing device.

Abstract: A computer-implemented method of managing information is disclosed. The method can include receiving a message from a mobile device configured to connect to a mobile device network (the message including a digital image taken by the mobile device and including information corresponding to words), determining the words from the digital image information using optical character recognition, indexing the digital image based on the words, and storing the digital image for later retrieval of the digital image based on one or more received search terms.

Abstract: The technology is directed to determining a class associated with an image. In some examples, a method determines the class associated with an image. The method can include determining a segmentation score for an image segment based on a comparison of the image segment and a region of an image. The region of the image can be associated with the image segment. The method further includes determining a confidence score for the image segment based on the segmentation score and a classification score. The classification score can be indicative of a similarity between the image segment and at least one class. The method further includes determining a class associated with the image based on the confidence score. The method further includes outputting the class associated with the image.