Character picture verification code identifying method based on identification feedback

Abstract

The invention provides a character picture verification code identifying method based on identification feedback. The character picture verification code identifying method is characterized by comprising the following steps of: firstly, converting an original colorful image into a gray level image and carrying out binaryzation treatment to obtain binaryzation image data; then, repairing a binaryzation image, removing image edge burrs and filling a central blank; finishing the connection of broken strokes to obtain a repaired image; removing a background and an interference point or line of the repaired image to obtain a noise-free image; thinning the noise-free image to obtain a thinned image with a single pixel; then, cutting the thinned image to obtain a single-character image which only contains a single character; and finally, carrying out normalization on the single-character image and identifying the character. According to the character picture verification code identifying method based on the identification feedback, a corresponding algorithm is designed to process a character picture identification code including various types of noises and having the phenomena that the character is stuck, inclined, rotated, deformed and the like, so as to finish high-efficiency and high-precision identification. The character picture verification code identifying method based on the identification feedback can be applied to verification code identification in an automatic program.

Description

technical field [0001] The invention relates to a verification code recognition method, in particular to an image verification code recognition method based on recognition feedback. Background technique [0002] The basic principle of captcha design is to reduce the problem of hard artificial intelligence, that is, a problem that cannot be solved by a computer program can be used as a captcha. Currently, verification codes are implemented in ways including character images, speech recognition, dynamic images, etc. Among them, character images are the most widely used one due to their advantages of small size and easy transmission. The use of verification codes can prevent others from batch registration, repeated posting, brute force password cracking, and mass spam emails. However, verification codes also hinder testers from using software to automate testing of websites, rapid release of information, and automated transactions. and so on. [0003] In the past few decades,...

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a character image verification code recognition method based on recognition feedback, which overcomes the defects that the verification code recognition method in the automatic program cannot recognize complex character image verification codes such as noise, character adhesion, tilt, rotation, deformation, etc. , through the recognition of the character image verification code, the smooth work of the automation program is realized, and the work efficiency of people is improved

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