Handwriting authentication system based on stroke curvature detection

A technology of curvature detection and handwriting, which is applied in the direction of instruments, character and pattern recognition, character recognition, etc., can solve the problems of lack of versatility and robustness, inaccessibility, and difficulty in authenticating fakes, and achieve real-time performance Good, objective results, simple operation

Active Publication Date: 2015-07-29
HOHAI UNIV CHANGZHOU
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AI Technical Summary

Problems solved by technology

In practice, the online handwriting authentication technology is very mature and has entered the practical stage. However, the off-line handwriting authentication cannot obtain the stroke order, writing speed, pen pressure and other dynamics of the writer when writing like the online handwriting authentication. Information will undoubtedly be more difficult to authenticate
[0005] Most of the existing off-line handwriting authentication methods are aimed at specific characters, and their essence is to transform the authentication of personal handwriting into the authentication of personal specific character handwriting. In the actual application process, specific characters need to be collected, and specific Excessive reliance on samples leads to the lack of versatility and robustness of this type of counterfeiting method

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  • Handwriting authentication system based on stroke curvature detection
  • Handwriting authentication system based on stroke curvature detection
  • Handwriting authentication system based on stroke curvature detection

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Embodiment Construction

[0024] The handwriting authentication system based on stroke curvature detection of the present invention comprises a software operating system and a hardware working system, and the whole system software module structure is as follows: figure 1 As shown, it includes a handwriting database module, a handwriting sample image acquisition and input module, a handwriting sample image preprocessing module, a feature analysis and extraction module, a handwriting feature moment processing module, a similarity measurement module, and a result output feedback module:

[0025] 1) Handwriting database module: Pre-store representative user personal text independent data information that has been processed by the system, including handwriting feature moments, personal information (such as name, gender, ID number, etc.), and subsequent authentication process These information can be used to identify handwriting sample images that need to be identified.

[0026] 2) Handwriting sample image a...

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Abstract

The invention discloses a handwriting authentication system based on stroke curvature detection. The handwriting authentication system comprises a handwriting sample database module, an image acquisition recording module, a preprocessing module, a characteristic analysis extraction module, a characteristic matrix processing module, a similarity measurement module and a result output feedback module. In a handwriting authentication process, the preprocessing module preprocesses an image acquired by the image acquisition module in real time, the characteristic analysis extraction module extracts characteristic values of strokes in a horizontal direction, a vertical direction, a left-falling direction and a right-falling direction, the characteristic matrix processing module processes the characteristic values of the strokes and generates a handwriting characteristic matrix, the similarity measurement module measures the similarity of the handwriting characteristic matrix needing to be authenticated and the handwriting characteristic matrix in a database by using a vector angle similarity measurement method, and the result output feedback module outputs a corresponding result. According to the handwriting authentication system, text-independent handwriting authentication can be quickly carried out, and an authentication result is stable and objective.

Description

technical field [0001] The invention relates to a handwriting identification system based on stroke curvature detection, which belongs to the technical field of digital image processing and handwriting identification. Background technique [0002] The rapid development of information technology has brought great convenience to people's daily life. At the same time, accurate authentication of personal identity and protection of information security have become a key problem that needs to be solved urgently in today's information age. Handwriting is a relatively stable behavioral feature of people. The use of handwriting for personal identity authentication is non-invasive (or non-contact), easy to obtain, and easy to accept. It is an important identification of personal identity. means. [0003] Over the years, traditional manual handwriting authentication has been mostly used in the field of handwriting authentication, but this method has gradually exposed its drawbacks and...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/22
CPCG06V30/347G06V30/1423G06V30/10
Inventor 李庆武马云鹏周妍刘艳周亮基
Owner HOHAI UNIV CHANGZHOU
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