An OCR font-based similar character recognition method

Abstract

The present invention relates to the field of computer technology, in particular to the field of pattern recognition and depth learning, and more particularly to an OCR font-based similar character recognition method. By changing the traditional font recognition method, both character text and font can be recognized. By comparing multiple samples and adding threshold filter, not only the accuracyof text recognition is greatly improved, but also the character font can be recognized effectively. The method is especially suitable for similar font and similar font character recognition, to achieve the double accurate recognition of font and font. Each character is cut into 96*96 pixels in size by horizontal and vertical segmentation, the method facilitates the extraction of pixel characteristic information, avoids the mutual interference between adjacent characters, and effectively improves the recognition efficiency. The designer of the invention cuts each character into 96*96 pixels invarious pictures such as books, newspapers, clothes and screen shots to extract the character pixel characteristic information, and the extraction rate is close to 100%.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to the field of pattern recognition and deep learning, and more specifically to a method for recognizing similar characters based on OCR fonts. Background technique [0002] Optical Character Recognition (OCR) is a way to convert image files printed on paper into text files by combining optical technology and computer technology. OCR recognition can be used for bank notes, a large number of documents, archives, tax Automatic scanning and long-term storage of first-class notes. [0003] OCR recognition is usually measured by recognition rate, recognition speed, layout understanding and layout reconstruction degree. This technology has a relatively good recognition rate for general characters, but there are still certain technical difficulties in the field of Chinese characters with rich structures and fonts, especially for similar fonts, such as: (午, gan, gan), (run, bubbl...

AI Technical Summary

Problems solved by technology

This technology has a relatively good recognition rate for general characters, but there are still certain technical difficulties in the field of Chinese characters with rich structures and fonts, especially for similar fonts, such as: (午, gan, gan), (run, bubble, cannon) ) and other characters have the problems of low recognition efficiency and low accuracy

In addition, the existing technology cannot judge characters with the same glyph and different fonts. It is very easy to make mistakes when recognizing the same glyph and different fonts. The results of repeated recognition are different. Sometimes manual intervention is required to correct errors, which greatly reduces the accuracy of recognition.

Images