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An optical character recognition error correction method based on natural language recognition

A technology of optical character recognition and natural language, applied in the field of image text recognition, can solve the problem of no error data inspection and correction, and achieve the effect of overcoming the difficulty of determining the result of isolated characters and words

Pending Publication Date: 2019-04-05
SUNYARD SYST ENG
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Problems solved by technology

Existing technical solutions do not use their own laws to check and correct erroneous data

Method used

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  • An optical character recognition error correction method based on natural language recognition
  • An optical character recognition error correction method based on natural language recognition
  • An optical character recognition error correction method based on natural language recognition

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[0036] The present invention will be described in detail below according to the accompanying drawings and preferred embodiments, and the purpose and effect of the present invention will become clearer. The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0037] Such as figure 1 As shown, a dictionary-based optical character recognition error correction method is characterized in that the method comprises the following steps:

[0038] S1: Acquiring text images;

[0039] S2: The character image is recognized by OCR to obtain an initial recognition result;

[0040] S3: Build a dictionary;

[0041] The dictionary here comes from the common word list of the search engine bing, which contains 1,000,000 keywords frequently used by users of the search engin...

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Abstract

The invention discloses an optical character recognition error correction method based on natural language recognition, and the method comprises the steps: carrying out the fusion of a lexical analysis model and a semantic analysis model, obtaining a fusion model, and obtaining a high-precision optical character recognition result through employing the fusion model. According to the model, the characteristics of Chinese characters in a lexical model are considered, and meanwhile, significant characteristics such as context relations of Chinese syntactic semantics are considered to correct optical character recognition results, so that the model precision is improved.

Description

technical field [0001] The invention relates to the field of image character recognition, in particular to an optical character recognition error correction method based on natural language recognition. Background technique [0002] OCR-based text area detection, positioning and recognition technology in the financial field refers to the use of computers and other equipment to automatically extract and recognize valid information in paper materials using OCR technology (optical character recognition), and perform corresponding processing. It is one of the key technologies for computer automatic processing to realize paperless banking. The traditional image text recognition is Optical Character Recognition (OCR), which recognizes on the basis of scanning paper documents to be recognized into electronic images. However, considering the quality of the scanning effect, the quality of the paper document itself (such as printing quality, font clarity, font standardization, etc.),...

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Application Information

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IPC IPC(8): G06F17/27G06K9/34
CPCG06F40/232G06F40/289G06F40/30G06V10/26G06V30/153Y02D10/00
Inventor 林康林路王慜骊安通鉴雷钧
Owner SUNYARD SYST ENG
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