基于神经网络的手写体签名识别的研究

The Research of Handwritten Signature Recognition Based on Neural Network

随着网络越来越发达,人们之间的交流越来越方便,网络交易也越来越红火,与此同时的网络安全问题也越来越突出,大量的信用卡号码、密码和身份证件被窃取和盗用,给国家和个人带来了巨大的损失。由于每个人的签名笔迹都很难模仿和相对稳定性,利用其特征值设计一种手写体签名识别系统,效果良好。

With the development of network, more and more convenient communication between people, network transactions are also more and more prosperous. But at the same time, the network security problem has become increasingly acute, credit card numbers, passwords and identification cards stolen, brought huge losses to the state and individuals. Because of the signature of each person＇s handwriting are difficult to imitate and relative stability, in this paper, using characterized value to design a handwritten signature recognition system, and achieved good effect.