A Handwriting Authentication System Based on Stroke Curvature Detection

Abstract

The invention discloses a handwriting identification system based on stroke curvature detection, which includes a handwriting sample database module, an image acquisition and entry module, a preprocessing module, a feature analysis and extraction module, a feature moment processing module, a similarity measurement module, and a result output feedback module . The handwriting discriminating process is that the preprocessing module preprocesses the image collected in real time by the image acquisition module, the feature analysis and extraction module extracts the eigenvalues ​​of strokes in the four directions of horizontal, vertical, left and right, and the feature moment processing module performs stroke eigenvalue processing and The handwriting characteristic moment is generated, and the similarity measurement module adopts the method of vector angle similarity measurement to measure the similarity between the handwriting characteristic moment to be authenticated and the handwriting characteristic moment in the database, and the result output feedback module outputs the corresponding result. The handwriting authenticating system of the present invention can rapidly perform text-independent handwriting authenticating, and the authenticating 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...

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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