| ABBYY SOFTWARE LTD Patent applications |
| Patent application number | Title | Published |
|---|
| 20120010872 | Method and System for Semantic Searching - In one embodiment, there is provided a computer-implemented method and system for implementing the method. The method comprises: preliminarily analyzing at least one corpus of natural language text comprising for each sentence of each natural language text of the corpus, performing syntactic analysis using linguistic descriptions to generate at least one syntactic structure for the sentence; building a semantic structure for the sentence; associating each generated syntactic and semantic structure with the sentence; and saving each generated syntactic and semantic structure; for each corpus of natural language text that was preliminarily analyzed, performing an indexing operation to index lexical meanings and values of linguistic parameters of each syntactic structure and each semantic structure associated with sentences in the corpus; and searching in at least one preliminarily analyzed corpora for sentences comprising searched values for the linguistic parameters. | 01-12-2012 |
| 20110274345 | ACCURACY OF RECOGNITION BY MEANS OF A COMBINATION OF CLASSIFIERS - In one embodiment, there is provided a method for an Optical Character Recognition (OCR) system. The method comprises: recognizing an input character based on a plurality of classifiers, wherein each classifier generates an output by comparing the input character with a plurality of trained patterns; grouping the plurality of classifiers based on a classifier grouping criterion; and combining the output of each of the plurality of classifiers based on the grouping. | 11-10-2011 |
| 20110091109 | METHOD OF PRE-ANALYSIS OF A MACHINE-READABLE FORM IMAGE - In one embodiment, the invention provides a method for a machine to perform machine-readable form pre-recognition analysis. The method comprises preliminarily assigning at least one graphic image in a form for identification of form type, preliminarily creating at least one model of the said graphic image for identification of the form type, parsing a form image into regions, determining an image form type for the form image, comprising: (a) detecting on the form image at least one of said graphic images for identification of the form type, (b) performing a primary identification of the form image type based on a comparison of the detected graphic image with the said model, and(c) performing a profound analysis using a supplementary data said-primary identification results in multiple possibilities for the form image type. | 04-21-2011 |
| 20110014944 | TEXT PROCESSING METHOD FOR A DIGITAL CAMERA - Embodiments disclose a technique to recognize text in a current frame of an image in a view finder of a digital camera. In accordance with the technique, text at a marker (e.g. a cursor or cross hairs) associated with the view finder is recognized and a lookup is performed based on the recognized text. Advantageously, the lookup yields useful information e.g. a translation of a recognized word that is displayed in the viewfinder adjacent to the text. The current frame is not captured by a user. As the user moves the camera to position a new word at the marker, the view finder is updated to provide lookup results associated with the new word. Lookups may be performed of a bilingual dictionary, a monolingual dictionary, a reference book, a travel guide, etc. Embodiments of the invention also cover digital cameras or mobile devices that implement the aforementioned technique. | 01-20-2011 |
| 20110013847 | IDENTIFYING PICTURE AREAS BASED ON GRADIENT IMAGE ANALYSIS - In one embodiment, a method for identifying areas in a document image is provided. The method comprises generating binarized and gradient images based on the document image; and performing a classification operation to classify areas in the document image into one of a noise area and a picture area based on attributes computed on the binarized and gradient images. | 01-20-2011 |
| 20110013806 | Methods of object search and recognition - Embodiments of the invention disclose techniques for processing of machine-readable forms of unfixed or flexible format. An auxiliary brief description may be optionally specified to determine the spatial orientation of the image. A method of searching for elements of a document comprises the following main operations in addition to the operations of preliminary image processing: selecting the varieties of structural description from several available variants, determining the orientation of the image, selecting the text objects, where the text must be recognized, and determining the minimal required volume of recognition, recognizing the text objects, searching for elements of the form. Searching for elements of the form comprises the following actions: selecting a searched element in the structural description, gaining the algorithm of search constraints from the structural description, searching for the element, testing the obtained variants. | 01-20-2011 |
| 20100254606 | METHOD OF RECOGNIZING TEXT INFORMATION FROM A VECTOR/RASTER IMAGE - A method is claimed for processing a vector-raster image file which contains a text image. The method comprises the steps of: fragmenting the image to obtain regions containing non-separable, logically connected fragments of text of the maximum possible size; processing text, vector, and raster objects; discarding excessive information; analyzing each object with the help of all available information. The step of processing text objects includes the steps of: dividing into separate characters and character groups according to supposed locations of blank spaces or other non-indicated symbols, and analyzing and assembling character groups into words and verifying and correcting characters encoding based on recognition of assembled words as raster objects. The step of processing vector objects includes the step of identifying separators, background, and substrates of blocks. The step of processing raster objects includes the steps of: analyzing non-text objects on order to detect text images within them, and/or detecting vector objects other than separators. | 10-07-2010 |
| 20090252439 | METHOD AND SYSTEM FOR STRAIGHTENING OUT DISTORTED TEXT-LINES ON IMAGES - In one embodiment, a method for correcting distortions in a scanned image of a page is disclosed. The method comprises identifying at least one set of collinear elements in the scanned image; and generating a corrected image based on the scanned image including for at least some of the collinear elements in each set applying a spatial location correction to position all collinear elements in the set on a common horizontal rectilinear base line in the corrected image. | 10-08-2009 |
