Method for rapidly identifying hollow verification code

Abstract

The invention belongs to the technical field of a verification code, and in particular relates to a method for rapidly identifying a hollow verification code. The method comprises the steps of firstly, thinning a character contour line of the verification code in a preprocessing stage; secondly, only filling a character block through inner and outer contour lines to obtain a solid character; thirdly, segmenting the solid character to obtain single characters and character components; fourthly, analyzing structural characteristics and order associations of the character components, and combining the character components by use of a minimum nearest neighbor algorithm to obtain the non-redundant single characters; and finally, identifying the single characters obtained after segmentation andcombination by use of a convolutional neural network to obtain a final deciphering result. According to the method for rapidly identifying the hollow verification code, compared with an existing identification method, not only is an original structure kept from being not damaged, but also breakages of the character contour lines are guaranteed to be accurately repaired, the filling time can be shortened, the filling precision can be improved, accurate acquisition and rapid identification of the hollow identification code are realized, the identification success rate is greatly improved, the applicability is high and better application values are provided.

Description

technical field [0001] The invention belongs to the technical field of verification code identification, and in particular relates to a method for quickly identifying hollow verification codes. Background technique [0002] With the rapid development and popularization of the Internet, various network services provide great convenience for people's life, such as e-commerce, online teaching, e-mail, social networking and so on. However, malicious software will actively attack these services, including batch registration, machine posting, mass spam, large-scale ticket swiping, etc. In order to fight against it, CAPTCHA (Completely Automated Public Turing Test to tell Computers and Human Apart) came into being. It is a public automatic program that distinguishes whether the user is a human or a computer, also known as HIP (Human Interactive Proofs) or captcha technology. As a mechanism to strengthen network security verification, it has been widely used in various network ser...

AI Technical Summary

Problems solved by technology

However, most of the existing verification code recognition methods are suitable for solid verification codes, and the few recognition methods for hollow verification codes have room for improvement in recognition accuracy and recognition speed.

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