Signature authenticity identification system based on characteristic adaptive vibration attenuation

Abstract

The invention discloses a signature authenticity identification system based on characteristic adaptive vibration attenuation. The system comprises a handwriting sample database module, an image acquisition and record module, a preprocessing module, a characteristic analysis and extraction module, a receiving module, a modulation module, and a pulse generation and identification module. The signature authentication process comprises the steps that: the preprocessing module preprocesses an image collected by the image acquisition module in real time, the characteristic analysis and extraction module extracts a pressure distribution characteristic, a direction angle time distribution characteristic, a character length ratio time sequence fitting characteristic and a cross scale inertial angular characteristic, the above characteristics are fused and are inputted into the system receiving module in the form of independent vector groups and connection signal are generated, the modulation module modulates two connection signals into sequence signals and generates a characteristics correlation coefficient between sequences, and the pulse generation and identification module judges authenticity according to the inputted characteristics correlation coefficient and outputs a final identification result. The system can rapidly carry out independent handwriting authentication of a text, and the identification result is stable and objective.

Description

technical field [0001] The invention relates to a signature authenticity identification system based on feature adaptive oscillation attenuation, 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] Most of the traditional handwriting identification methods use manual handwriting identification, but the actual application shows that this method has obvio...

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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