Image verification code generation method utilizing human eye vision compensation principle

Abstract

The invention discloses an image verification code generation method utilizing a human eye vision compensation principle. The image verification code generation method comprises the following steps: 1, generating a random character string with a random length, wherein the length of the random character string is controlled in a certain set range; 2, selecting an unequal-width typeface and writing the random character string into image canvas with a non background color; 3, rewriting the random character string into the image canvas with a background color and moving the position in the image canvas towards the top left corner by one pixel, wherein a typeface form of each character is totally the same with that of each character in the step 2; 4, carrying out stroke random erasing processing on a verification code image generated in the step 3, wherein an erasing ratio is a set value. People can reduce the image verification code generated by the image verification code generation method into stereoscopic words by utilizing the human eye vision compensation principle, so that identification is easily carried out; strokes of verification code words or characters are very slim, discontinuous and incomplete so as to cause difficulty of a machine in identification.

Description

technical field [0001] The invention discloses a method for generating a picture verification code using the principle of human vision compensation, which can be easily recognized by human beings but difficult for machines to restore, and belongs to the field of computer information technology. Background technique [0002] With the rapid development of the Internet, spam information on the Internet is also flooding, especially the spam information generated by robots is the most serious, so the CAPTCHA technology emerges as the times require. CAPTCHA is the English abbreviation of the fully automatic Turing Test for Distinguishing Computers and Humans. The picture verification code is a technology that uses the technology that it is difficult for computers to effectively recognize certain picture characters but humans can recognize them, so as to distinguish machines from humans. But in recent years, the development of image verification code recognition technology is a...

AI Technical Summary

Problems solved by technology

But in recent years, the development of image verification code recognition technology is also very fast. Most of the simple verification codes have a very high recognition rate, and many even reach 100% recognition rate, which makes these verification codes become decorations. Other than real humans causing trouble, nothing has been done to stop bots from spamming

On the other hand, represented by Google, although the verification code generated by the distortion and deformation technology has achieved the effect of a very low machine recognition rate, it is also very difficult for humans to recognize it, which has a negative impact on the application of image verification codes.

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