Abstract: Systems and methods for finding and presenting differences between documents are provided. One method includes identifying one or more differences between a first document and at least one second document. The method further includes determining each of the one or more differences to be either a significant difference or an insignificant difference. The method further includes providing a first identification of the significant differences and a second identification of the insignificant differences.

Abstract: Systems and methods for finding and presenting differences between documents are provided. One method includes identifying one or more differences between a first document and at least one second document. The method further includes determining each of the one or more differences to be either a significant difference or an insignificant difference. The method further includes providing a first identification of the significant differences and a second identification of the insignificant differences.

Abstract: For extracting data from a document with fixed structure, we recognize key words in an image of the document; identify reference object based on these key words, create templates based on the identified reference objects; match the created templates against the image of the document while recognizing fields in the image of the document these templates; and select the best template using quality of the recognized field.

Abstract: Systems and methods for finding and presenting differences between documents are provided. One method includes identifying one or more differences between a first document and at least one second document. The method further includes determining each of the one or more differences to be either a significant difference or an insignificant difference. The determination of whether each of the one or more differences is a significant difference or an insignificant difference may be performed in an automated manner without intervention from a user. The method further includes providing an identification of the significant differences to the user. The method further includes either hiding the insignificant differences from the user or providing an identification of the insignificant differences in a different manner than a manner in which the identification of the significant differences is provided.

Abstract: A method for recognizing characters in an image includes receiving the image containing characters to be recognized and analyzing the received image. A first portion of the received image is compared to a set of patterns to determine a first coincidence value for each pattern in the set of patterns and a first series of hypotheses is generated based at least on the determined first coincidence values. A second portion of the received image is compared to a set of selected patterns to determine a second coincidence value for each pattern in the set of selected patterns, where the set of selected patterns is selected based at least on the generated first series of hypotheses. Recognition of the characters is based on the first and second series of hypotheses, and an identified sequence of characters.

Abstract: For extracting data from a document with fixed structure, we recognize key words in an image of the document; identify reference object based on these key words, create templates based on the identified reference objects; match the created templates against the image of the document while recognizing fields in the image of the document these templates; and select the best template using quality of the recognized field.

Abstract: A method for recognizing characters in an image includes receiving the image containing characters to be recognized and analyzing the received image. A first portion of the received image is compared to a set of patterns to determine a first coincidence value for each pattern in the set of patterns and a first series of hypotheses is generated based at least on the determined first coincidence values. A second portion of the received image is compared to a set of selected patterns to determine a second coincidence value for each pattern in the set of selected patterns, where the set of selected patterns is selected based at least on the generated first series of hypotheses. Recognition of the characters is based on the first and second series of hypotheses, and an identified sequence of characters.

Abstract: Systems and methods for finding and presenting differences between documents are provided. One method includes identifying one or more differences between a first document and at least one second document. The method further includes determining each of the one or more differences to be either a significant difference or an insignificant difference. The determination of whether each of the one or more differences is a significant difference or an insignificant difference may be performed in an automated manner without intervention from a user. The method further includes providing an identification of the significant differences to the user. The method further includes either hiding the insignificant differences from the user or providing an identification of the insignificant differences in a different manner than a manner in which the identification of the significant differences is provided.