Patent application number | Description | Published |
20080273807 | COMPRESSION OF DIGITAL IMAGES OF SCANNED DOCUMENTS - A first aspect of the invention relates to a method for creating a binary mask image from an a inputted digital image of a scanned document, comprising the steps of creating a binarized image by binarizing the inputted digital image, detecting first text regions representing light text on a dark background, and inverting the first text regions, such that the inverted first text regions are interpretable in the same way as dark text on a light background. A second aspect of the invention relates to a method for comparing in a binary image a first pixel blob with a second pixel blob to determine whether they represent matching symbols, comprising the steps of detecting a line in one blob not present in the other and/or determining if one of the blobs represents an italicized symbol where the other does not. | 11-06-2008 |
20100277772 | METHOD FOR MANAGING SETS OF DIGITALLY ACQUIRED IMAGES AND METHOD FOR SEPARATION AND IDENTIFICATION OF DIGITALLY ACQUIRED DOCUMENTS - Method for managing sets of digitally acquired images, the images of each set being acquired from the same original, comprising the steps of handling said sets of images as units and restricting use of predetermined operations to all images of one or more of said sets only. Further, a method for managing sets of digitally acquired images, the images of each set being acquired from the same original, each set comprising at least one front side image and at least one back side image, the method comprising the step of substantially simultaneously performing a first operation on the at least one front side image and a second operation on the at least one back side image, the second operation mirroring the first operation. Further, a method for separation and identification of digitally acquired documents, comprising the steps of: (i) calculating a signature for an incoming document on the basis its image, and (ii) correlating said signature with a database of signatures identifying document types. | 11-04-2010 |
20110206281 | METHOD FOR FAST UP-SCALING OF COLOR IMAGES AND METHOD FOR INTERPRETATION OF DIGITALLY ACQUIRED DOCUMENTS - Method for up-scaling a color image prior to performing subsequent processing on said color image, comprising the steps of converting the color image into multiple image layers distinguishable from each other and up-scaling at least one of said multiple image layers. The up-scaling is tuned towards the subsequent processing, for example luminance is upscaled at higher quality than chrominance. Further, a method for interpreting information present on digitally acquired documents, comprising the steps of: (i) determining a country; (ii) identifying a list of languages and character sets in use in said country; (iii) performing optical character recognition simultaneously using all languages and character sets of the list; (iv) performing field parsing to identify fields in the digitally acquired document on the basis of international as well as country-specific field recognition rules; (v) storing the recognized information according to the identified fields in a database. | 08-25-2011 |
20110249306 | AUTONOMOUS SHEET-FED SCANNER - Battery-powered portable sheet-fed scanner, comprising: a scanning unit ( | 10-13-2011 |
20120063686 | COMPRESSION OF DIGITAL IMAGES OF SCANNED DOCUMENTS - A first aspect of the invention relates to a method for creating a binary mask image from an a inputted digital image of a scanned document, comprising the steps of creating a binarized image by binarizing the inputted digital image, detecting first text regions representing light text on a dark background, and inverting the first text regions, such that the inverted first text regions are interpretable in the same way as dark text on a light background. A second aspect of the invention relates to a method for comparing in a binary image a first pixel blob with a second pixel blob to determine whether they represent matching symbols, comprising the steps of detecting a line in one blob not present in the other and/or determining if one of the blobs represents an italicized symbol where the other does not. | 03-15-2012 |
20120093412 | COMPRESSION OF DIGITAL IMAGES OF SCANNED DOCUMENTS - A first aspect of the invention relates to a method for creating a binary mask image from an a inputted digital image of a scanned document, comprising the steps of creating a binarized image by binarizing the inputted digital image, detecting first text regions representing light text on a dark background, and inverting the first text regions, such that the inverted first text regions are interpretable in the same way as dark text on a light background. A second aspect of the invention relates to a method for comparing in a binary image a first pixel blob with a second pixel blob to determine whether they represent matching symbols, comprising the steps of detecting a line in one blob not present in the other and/or determining if one of the blobs represents an italicized symbol where the other does not. | 04-19-2012 |
20120299881 | SYSTEM FOR TRACKING AND PROCESSING HANDWRITTEN PEN STROKES ON MOBILE TERMINAL - A system for tracking and processing handwritten pen strokes, including: a digital pen to allow a user to write pen strokes on a substrate; a receiver station for use in combination with said digital pen and adapted for tracking said pen strokes and storing digital pen strokes which include electronic data representing said tracked pen strokes, said receiver station including a wireless transceiver adapted for communicating with a mobile terminal over a wireless connection to transfer said digital pen strokes to said mobile terminal; and a software application executable on said mobile terminal and including software code fragments for receiving and processing said transferred digital pen strokes. | 11-29-2012 |
20120307316 | AUTONOMOUS PORTABLE SCANNERS - Battery-powered portable scanner, comprising: a scanning unit for scanning documents and forming digital representations thereof; a processor, communicatively connected to the scanning unit and provided for controlling the scanning operation; at least a first embedded storage capabilities, each of which is communicatively connected to the processor and each of which comprises either an internal memory for internally storing the digital representations or a communication link to an external storage medium for externally storing the digital representations. The processor is provided for enabling autonomous operation without connection to a terminal. The processor may be provided with an embedded routing application which is provided for routing the digital representations to a predetermined selection among the embedded storage capabilities. | 12-06-2012 |
20130006607 | METHOD FOR FAST UP-SCALING OF COLOR IMAGES AND METHOD FOR INTERPRETATION OF DIGITALLY ACQUIRED DOCUMENTS - Method for up-scaling a color image prior to performing subsequent processing on said color image, comprising the steps of converting the color image into multiple image layers distinguishable from each other and up-scaling at least one of said multiple image layers. The up-scaling is tuned towards the subsequent processing, for example luminance is upscaled at higher quality than chrominance. Further, a method for interpreting information present on digitally acquired documents, comprising the steps of: (i) determining a country; (ii) identifying a list of languages and character sets in use in said country; (iii) performing optical character recognition simultaneously using all languages and character sets of the list; (iv) performing field parsing to identify fields in the digitally acquired document on the basis of international as well as country-specific field recognition rules; (v) storing the recognized information according to the identified fields in a database. | 01-03-2013 |
20130039589 | Pattern recognition process, computer program product and mobile terminal - Pattern recognition process that includes, starting from an input pattern: normalization of the input pattern into a normalized pattern of predetermined size; generation of a reliable pattern from the normalized pattern by using at least one morphological operator; calculation of a distance between the reliable pattern and selected templates which are selected from a template library; classification of the reliable patterns into at least one of the classes of the selected templates by means of at least one non-parametric classification method, which uses the classes of the selected templates and the calculated distances as inputs and outputs identified classes along with confidence levels. | 02-14-2013 |
20130039591 | PATTERN RECOGNITION PROCESS, COMPUTER PROGRAM PRODUCT AND MOBILE TERMINAL - Pattern recognition process that includes, starting from an input pattern: normalization of the input pattern into a normalized pattern of predetermined size; generation of a reliable pattern from the normalized pattern by using at least one morphological operator; calculation of a distance between the reliable pattern and selected templates which are selected from a template library; classification of the reliable patterns into at least one of the classes of the selected templates by means of at least one non-parametric classification method, which uses the classes of the selected templates and the calculated distances as inputs and outputs identified classes along with confidence levels. | 02-14-2013 |
20140177954 | COMPRESSION OF DIGITAL IMAGES OF SCANNED DOCUMENTS - A method for creating a binary mask image from an inputted digital image of a scanned document, including the steps of creating a binarized image by binarizing the inputted digital image, detecting first text regions representing light text on a dark background, and inverting the first text regions, such that the inverted first text regions are interpretable in the same way as dark text on a light background. A method for comparing in a binary image a first pixel blob with a second pixel blob to determine whether they represent matching symbols, including the steps of detecting a line in one blob not present in the other and/or determining if one of the blobs represents an italicized symbol where the other does not. | 06-26-2014 |
20150302268 | PATTERN RECOGNITION SYSTEM - A method for identifying a pattern in an image. In a first step the image is normalized to a binary matrix. A binary vector is subsequently generated from the binary matrix. The binary vector is filtered with a sparse matrix to a feature vector using a matrix vector multiplication wherein the matrix vector multiplication determines the values of the feature vector by applying program steps which are the result of transforming the sparse matrix in program steps including conditions on the values of the binary vector. Lastly, from the feature vector, a density of probability for a predetermined list of models is generated to identify the pattern in the image, | 10-22-2015 |
20150302598 | LINE SEGMENTATION METHOD - A line segmentation method which starts with determining a first starting point coordinate and generating a list of potential character widths dependent on a maximum character width stored in a database and on characteristics of the portion of the line of text corresponding to the maximum character width. The method determines a second portion of the line of text corresponding to the first starting point coordinate and the first width on the list of potential character widths. On the second portion, a classification method is applied providing a likelihood of error for the first width and a candidate character. The likelihood of error is compared with a first threshold determined by a trade-off between speed and accuracy, and if the likelihood of error corresponding to the first width is lower than the threshold value, the candidate character is selected as the character meaning that a segment is known. | 10-22-2015 |
20150356365 | OPTICAL CHARACTER RECOGNITION METHOD - The optical character recognition method applies a first OCR engine to provide an identification of characters of at least a first type of characters and zones of at least a second type of characters in the character string image. A second OCR engine is applied on the zones of the at least second type of characters to provide an identification of characters of a second type of characters. The characters identified by the first OCR engine and by the second OCR engine are in a further step combined to obtain the identification of the characters of the character string image. | 12-10-2015 |