Depth-learning-based Chinese character recognition system realizing method

Abstract

The invention, which belongs to the technical field of image processing, discloses a depth-learning-based Chinese character recognition system realizing method. Preprocessing, segmentation, identification, reorganization are carried out on a picture with characters to form a text, thereby realizing conversion from the picture to the text. The method comprises: (1), picture pretreatment is carried out; to be specific, graying, binarization, and inclination correction are carried out on an inputted original picture to obtain a regular picture; (2), picture segmentation is carried out; to be specific, segmentation is carried out on an inputted picture with lots of characters, the picture is segmented into rows and then each row is segmented into single character; (3), picture identification is carried out; to be specific, the segmented single character is identified and an identification module is invoked for each single character picture to obtain an identification character result; and (4), text reorganization is carried out; to be specific, the obtained single character identification results are combined according to a sequence, correction is carried out, and then an identification result text segment is produced. With the image processing technique, graying and binarization are completed; and the generalization ability and the anti-interference capability are high.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an implementation method of a Chinese character recognition system based on deep learning. Background technique [0002] With the rapid development of the Internet and artificial intelligence, the way of communication and information transmission has changed from text to pictures and voice, and the recognition of text information in pictures has become an important requirement. [0003] The traditional text information recognition method generates a single text feature library by calculating the picture pixels, the peripheral structure of the text in the picture, the stroke direction, etc., and the recognition link finds the minimum distance by comparing with the feature library to judge the text category. , The ability to recognize text and pictures that are stretched horizontally and vertically and rotated is poor. Contents of the invention [0004] The technical ta...

AI Technical Summary

Problems solved by technology

[0003] The traditional text information recognition method generates a single text feature library by calculating the picture pixels, the peripheral structure of the text in the picture, the stroke direction, etc., and the recognition link finds the minimum distance by comparing with the feature library to judge the text category. , Horizontal and vertical stretching and rotating text and picture recognition ability is poor