Off-line Chinese signature recognition system based on neural network
基于神经网络的脱机中文签名鉴别系统的研究

This paper tried to combine neural network and signature verification, using the Back Propagation algorithm (BP) of the multi player Neural Network based on matlab neural network box. And a method of feature extraction based on Gabor fliter and Zernike moment was proposed. The experiment shows that the method is more effective and feasible, and recognition rate has been up to 93.70%.