Character assembly-oriented graphic verification code identification method and device

Abstract

The invention discloses a character assembly-oriented graphic verification code identification method and device, and aims at providing the graphic verification code identification performance. The method comprises the following steps of: obtaining a to-be-identified graphic verification code which consists of characters, and preprocessing the graphic verification code; cutting the graphic verification code to obtain at least one graphic; determining the quantity of characters included in each cut graphic; for each cut graphic which includes one character, matching the graphic with a preset sample set, and identifying the character included in the graphic; for each cut graphic which includes more than one character, matching the graphic with the sample set by adoption of a bidirectional sliding and downward deviation combined matching method, and identifying the characters included in the graphic; and combining identification results of the characters included in all the graphics to obtain an identification result of the graphic verification code.

Description

technical field [0001] The invention relates to the field of verification code identification, in particular to a method and device for identifying a graphic verification code for character combinations. Background technique [0002] Captcha (CAPTCHA) is the abbreviation of "Completely Automated Public Turing test to tell Computers and Humans Apart" (Turing Test to Tell Computers and Humans Apart), which is a public fully automatic program that distinguishes between computers and humans. It can prevent malicious cracking of passwords, swiping tickets, flooding forums, and effectively prevent a hacker from making continuous login attempts to a specific registered user with a specific program brute force cracking method, etc. However, the verification code greatly reduces the user experience, especially some sticky and vague verification codes, which greatly interfere with the user's operation. In order to obtain data on websites in batches, identifying verification codes has...

AI Technical Summary

Problems solved by technology

However, there are three problems with this approach. One is that with the increase of sample data, the performance will be greatly lost; the other is that sometimes it is difficult to cut the cohesive characters. After cutting, a character may be cut into multiple or The two characters are connected together without cutting, which eventually leads to the fact that the correct sample cannot be matched due to the large difference when comparing with the sample; the third is that for different verification codes, different cutting mechanisms are required, and the reusability of the program is compared Difference

Images