%0 Journal Article
%T Ear recognition based on feature fusion and Bagging neural network<br>基于多特征融合和Bagging神经网络的人耳识别
%A ZHANG Wei-wei
%A XIA Li-min
%A <br>张伟伟
%A 夏利民
%J 计算机应用
%D 2006
%I 
%X A new ear recognition method based on feature fusion was presented. Firstly, ear projection coefficient features were extracted by NMF methods. Then these features were combined with the ear rotation invariance Zemike moments features so as to get a new feature which had higher discriminating power. With this new feature, a Bagging neural network was built up by using bagging algorithm that improved classification accuracy and generalization of neural network. At last, the results of some comparative experiments show that this ear recognition method can get higher recognitiori rate.
%K ear recognition
%K Zernike moments
%K Non-negative Matrix Factorization(NMF)
%K Bagging neural network<br>人耳识别
%K Zernike矩
%K 非负矩阵分解法
%K Bagging神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=A017FB227245C0F1&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=6405D27FCB03BF0F&eid=9204B40510008238&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=13