Verification method and device based on handwritten character recognition

Abstract

The invention provides a verification method and device based on handwritten character recognition. The method comprises the steps that S1 a reference character is extracted from a candidate character library through a random algorithm, and a picture is generated as the reference verification information; S2 a handwritten character in a handwritten area is acquired, and a picture is generated as handwritten verification information; S3 a font recognition algorithm is used to determine whether the handwritten character of the handwritten verification information matches the reference character of the reference verification information, and if so, the step S4 is carried out, otherwise the verification fails; S4 the feature of the handwritten verification information is extracted to acquire the corresponding eigenvector; and S5 whether the eigenvector of the handwritten verification information matches an eigenvector in a template library, and if not, the verification fails. According to the invention, the handwritten alphabetic character of a designated area is acquired to distinguish human and computer; affects caused by the fact that a verification code is cracked by a malicious program are prevented; and the Internet safety is improved for a user.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a verification method and device based on handwritten character recognition. Background technique [0002] The Turing Test (English: Completely Automated Public Turing test to tell Computers and Humans Apart, referred to as CAPTCHA), commonly known as verification code, is a public automatic program that distinguishes between computers and humans. In a CAPTCHA test, a computer acting as a server automatically generates a question for the user to answer. This question can be generated and judged by a computer, but only a human can answer it. Since computers cannot answer CAPTCHA questions, users who answer the questions can be considered human beings. [0003] Existing verification codes can be classified into three types: text verification codes, picture verification codes, and voice verification codes. The verification principle of the existing verificat...

AI Technical Summary

Problems solved by technology

[0004] Disadvantages or deficiencies: In the existing verification code technology, the operation of the user to submit verification information is through mouse or keyboard events, and the type of submitted verification information is characters; figure 1 Schematic diagram of the existing verification code technology

[0005] In the existing verification code technology, the design is mainly based on the idea of ​​making the reference verification code easy to be recognized by humans but not easy to be recognized by machines, mainly manifested in the use of distorted text, the use of noise background in pictures, and the increase of background noise in speech. The means of machine identification increase the difficulty of machine identification

The use of this method also increases the difficulty of human identification, and sometimes even human beings cannot identify it, which reduces the user experience

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