Chinese character recognition method based on optical character recognition technology

Abstract

The present invention discloses a Chinese character recognition method based on an optical character recognition technology. For an inputted gray scale text image, a cutting result is obtained by a hierarchical structure cutting method based on a connected region, then the binaryzation and denoising operations are carried out on the image by a region-growing algorithm based on the pixel distribution characteristics to obtain a to-be-recognized character, and then the to-be-recognized character is sent to a general single character recognizer to recognize to thereby obtain a candidate character set, and finally, a final recognition result is obtained by a similar character classification and recognition method. Compared with the prior art, the Chinese character recognition method based on the optical character recognition technology of the present invention enables the character recognition accuracy and efficiency to be improved effectively, enables the text information to be inputted to a computer at a high speed, solves the conflict between the low-speed information input and the high speed information processing, and enables the onerous keyboard recording work to be simplified.

Description

technical field [0001] The invention relates to a character recognition method, in particular to a Chinese character recognition method based on optical character recognition technology, belonging to the technical field of character recognition. Background technique [0002] The significance of using optical character recognition technology is to extract the characters in the image into the computer and turn them into computer text, so that the storage capacity of image data can be reduced, and the recognized text can be reused and analyzed. Of course, it can also save keyboard input. manpower and time. [0003] The concept of optical character recognition technology was first proposed by German scientists. However, IBM was the first to study printed Chinese character recognition. In 1996, they used template matching to recognize 1,000 printed Chinese characters. In the early 1970s, Japanese scholars began to study Chinese character recognition and did a lot of work. China...

AI Technical Summary

Problems solved by technology

[0005] Most of the existing Chinese recognition methods based on optical character recognition technology directly perform preprocessing on images such as binarization, noise removal, tilt correction, layout analysis, and character cutting. Excessive filtering of useful data, unreasonable character cutting, unreasonable extraction of grayscale features, and low recognition rate of similar Chinese characters. At the same time, it is affected by image resolution. In this way, the recognition rate of some existing recognition methods is very low. Yes, in the face of the fast and real-time requirements in the market environment, it seems powerless

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