Method and system for identifying offline handwritten signature

Abstract

The invention discloses a method and a system for identifying an offline handwritten signature. The method comprises the following steps of S1, preprocessing an offline signature sample in an offline signature sample library; S2, extracting a plurality of characteristics for a preprocessed signature image, wherein the characteristics include moment characteristics, local binary pattern characteristics, gray-level co-occurrence matrix characteristics and pulse coupled neural network characteristics; S3, training the plurality of extracted characteristics of the offline signature sample to obtain a trained standard sample library; S4, acquiring a signature to be detected, and preprocessing the signature to be detected to obtain the plurality of characteristics of the signature to be detected; and S5, matching the plurality of characteristics of the signature to be detected with corresponding characteristics of the offline signature sample in the standard sample library, and identifying whether the signature to be detected is a genuine signature or a forged signature. The method and the system can effectively and accurately identify an offline signature to be detected.

Description

technical field [0001] The invention relates to the field of computer pattern recognition, in particular to an off-line handwritten signature identification method and system. Background technique [0002] With the rapid development of information technology, security issues are facing unprecedented challenges in the process of improving people's living standards. Real-time and accurate personal identification is very important. Traditional identity authentication is based on passwords, IC cards, etc., and has various disadvantages, such as passwords may be stolen and forgotten, and IC cards may be lost or stolen. People urgently need a reliable and convenient personal identification technology to overcome the shortcomings of traditional methods. The identity authentication method based on handwritten signature can fundamentally solve the above-mentioned shortcomings. [0003] Compared with other biometric technologies, signature authentication technology has the advantage...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a stable and effective off-line handwritten signature identification method and system for the defect of unstable offline handwritten signature identification in the prior art

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