%0 Journal Article
%T Linear discriminant analysis based on weighted Fisher criteria and face recognition<br>基于加权Fisher准则的线性鉴别分析及人脸识别
%A GUO Juan
%A LIN Dong
%A QI Wen-ya
%A <br>郭娟
%A 林冬
%A 戚文芽
%J 计算机应用
%D 2006
%I 
%X A novel method based on weighted discriminant analysis for face recognition was proposed in this paper. First, the Fisher criterion was redefined by introducing a weighting of the contributions of individual class pairs to the overall criterion. Then, to deal with the high dimensional and singular case in face recognition problems, a simple and efficient algorithm was developed. Finally, the proposed algorithm was tested on ORL face database, and a recognition rate of 96% was achieved by using either a common nearest neighbor classifier or a minimum distance classifier. The experimental results show our method is superior to the classical Eigeafaces and Fisherfaces.
%K LDA(Linear Discriminant Analysis)
%K weighted Fisher criterion
%K feature extraction
%K face recognition<br>线性鉴别分析
%K 加权Fisher准则
%K 特征抽取
%K 人脸识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=F1ABB8D7F56E438B&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=94C357A881DFC066&sid=1F51A4E3D1D75885&eid=C7A7E1E32985D389&journal_id=1001-9081&journal_name=计算机应用&referenced_num=4&reference_num=9