Studies On Adjacency-based Signature Verification Algorithm

As a major application direction, biometrics technology is becoming a fast growing research field, and the signature verification technology is one of the most attractive directions of it. Recent years, some developed countries have turned biometric identification technology from the research phase to the application stage. Some of the research institutions and enterprises in China have also began the work in this field, and the competition is very fierce. Besides, signature verification with high accuracy is a good guarantee to protect the interests of the individual, collectivity and nations from being infringed. Personal forged signatures may lead to serious social consequences or huge economic losses. For our country that has such large population, with disputes caused by signature arising, it is becoming more and more important to correctly identify the authenticity of the signature technology. Therefore, the verification of signatures has an extremely broad range of applications and an important strategic significance.Based on the current study status quo of the signature verification technology, it is feasible to analysis and research on the features of its adjacency. The paper does several works as follows:1) Analyze the existing thinning algorithm: fast parallel algorithm and mathematical morphology thinning algorithm, and propose the parallel thinning algorithm for handwritten characters with relatively high accuracy based on adjacency information.2) On the basis of the existing algorithms, which determine the feature points of handwritten characters, and considering the disadvantages of them, this paper conducts studies on adjacency-based algorithm of extracting stroke joint points;3) Combining the characteristics of genetic neural network and genetic algorithm, a handwritten characters verification algorithm based on genetic neural network is proposed in this paper, the feasibility and effectiveness of which have been proved by experiments. Finally, the paper sets forth the author's self-experience in research into signature verification, and it also makes an outlook for further research direction.