%0 Journal Article
%T Off-line Chinese signature recognition system based on neural network<br>基于神经网络的脱机中文签名鉴别系统的研究
%A WANG Hong-chun
%A JIN Bin
%A FAN Xun-sheng
%A MA Shi-ming
%A <br>王红春
%A 靳斌
%A 樊旭升
%A 马士明
%J 计算机应用
%D 2008
%I 
%X 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%.
%K signature verification
%K neural network
%K Zernike moment
%K Gabor fliter
%K feature extraction<br>签名鉴别
%K 神经网络
%K Zernike矩
%K Gabor滤波器
%K 特征提取
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=FF73545300D95CACC051F45C0319F42B&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=CCBC80F4027FC41E&eid=45DD1A078A51A2E3&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=8