Research Of Signature Verification In The Electronic Examination And Approval System

With the development at full speed of network technology, Internet and information technologies will be more and more blended into our daily life. Under this tide, traditional security ways have been no longer reliable to satisfy the need of complex behaviors of e-commerce and information security. People's demand for quick and effective identity verification is increasingly urgent. The biological characteristics are the human inherent attributes, which have very strong stability and individual difference, so it is the most ideal basis of identity verification. Making use of the signature to carry on the identity verification is usually adopted, because signature is very easy to get and different people's signatures are different.The signature verification has extensive application backgrounds. The signature's importance and status of law are exclusive in current society. Signature is the symbol of right, obligation and liability and it is the delegate of the people who wrote the signature. So system of signature verification can be applied for the field of commerce, bank and police etc. Now, as our country develops the electronic examination and approval system in a more effective manner, a large number of information will be traveled in the electronic examination and approval system. The question of information security has become the focus in E-government. Signature verification will solute this question. It has become one active research subject on computer vision and pattern recognition.As progress in correlated disciplines such as pattern recognition and artificial intelligence, signature verification has made great progress. However, there are still many unsolved problems existing in this field. And many works in this field still stay in research. The main goal is realization of signature verification which based On the Electronic Examination and Approval System of ShenYang Bureau. We realize a series of preprocessing of signature and the division of signature. Werealize feature extraction by related function. At last, signature verification is realized. Software simulation results prove the system is not complex to realize and the results are very good.