4. The method as recited in claim 1 , where a particular dictionary of commonly used word fragments is applied.
1. A computer-implemented method for text data recognition, comprising obtaining an image file from scanning device or from other source, preliminarily assigning at least a part of a list of applied supplementary data types and an order of application of the supplementary data types in the list, said list comprising, in order of application: a line-to-graphemes parsing information, a graphical element (grapheme) recognition quality, a whole words dictionary, a dictionary of permissible word fragments, rules, prescribed by applied standard data patterns or regular expressions, rules, prescribed by word disposition within the line or the paragraph, rules, prescribed by the document language peculiarities, rules, prescribed by the document type peculiarities, and supplementary rules for rare occasions, preliminarily assigning of an accuracy estimation for each type of supplementary data, performing one or more line-to-fragments parsing versions by reliably recognized spaces, said fragments presumably comprising single word images, building of line partition graph (hereinafter LPG) for each line fragment, said graph describing fragment-to-graphemes parsing versions, said graphemes presumably comprising character images, performing single graphemes recognition, using two or more classifiers of different types, assigning each said grapheme recognition version accuracy estimation, interpretation of grapheme recognition version as a character version, performing at least the following steps: the first step: for each LPG chain connecting initial node and final node, building a set of chains using all obtained recognized grapheme-to-character versions, calculating a total recognition accuracy level for each said chain, sorting obtained results in a total recognition accuracy descending order, the second step: analyzing all obtained character group versions using supplemental information about capital-small characters disposition, in a case of more than one grapheme-to-character recognition version being available, analyzing each said obtained recognition version with the application the supplemental data types in connection with the preliminarily assigned order to gain a prescribed recognition accuracy, assigning to each obtained version an accuracy estimation, discarding character versions having said accuracy estimation lower, than the preliminarily assigned level, sorting the remain versions in a descending order using pair wise comparison; the third step: performing a supplementary space recognition correction with respect to a previously mistakenly recognized spaces comprising: joining of previously mistakenly separated elements, separation of previously mistakenly combined elements.