Accurate inclination character recognition method and system based on robustness template

Abstract

The invention discloses an accurate inclination character recognition method based on a robustness template. The method comprises the following steps: establishing a sample image data set; establishing a plurality of robust character templates corresponding to the character categories; performing multi-scale construction on the to-be-recognized inclination character image block and each robustness character template; calculating the similarity between the to-be-identified dip angle character image block under each scale and each template character image block; determining an initial character category of the to-be-recognized dip angle character image block according to the similarity value under each scale; filtering the inclination character image block to be identified and the robustness character template of the initial character category thereof by using a convolution kernel; calculating and filtering the similarity of the to-be-recognized dip angle character image block and the filtering template character image block; and determining the character type of the to-be-recognized inclination character image block. The invention discloses an accurate inclination character recognition system based on the robustness template. According to the invention, the accuracy of inclination character recognition is effectively improved.

Description

technical field [0001] The present invention relates to the technical field of character recognition, in particular to a method and system for precise recognition of inclined characters based on a robust template. Background technique [0002] In the era of digital media, massive pictures have become an important information carrier, playing an increasingly important value. For example, bank bills, company financial statements, etc. can be displayed and stored in the form of pictures. Although we can easily read the text information in the image, we cannot effectively recognize and edit the text information. Therefore, it is of great value to be able to effectively recognize the text in the image. Although the traditional text method can recognize the text in the picture, when the text has a certain inclination, they often cannot be recognized well. Therefore, how to establish an effective recognition method for inclined characters, which still has a high recognition accur...

AI Technical Summary

Problems solved by technology

Although we can easily read the text information in the image, we cannot effectively recognize and edit the text information, so if we can effectively recognize the text in the picture, it is of great value

Although the traditional text method can recognize the text in the picture, when the text has a certain inclination, they often cannot be recognized well

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