%0 Journal Article
%T Face recognition based on linear projection analysis and FCM dynamic clustering<br>基于线性投影分析和FCM动态聚类的人脸识别*
%A HU Ming
%A ZHANG Qiang
%A WANG Zhi-pingb
%A <br>胡明
%A 张强
%A 王志平b
%J 计算机应用研究
%D 2009
%I 
%X This paper proposed a face recognition classifier based on FCM dynamic clustering. First, as for linear projection, principle component analysis and linear discriminant analysis were expounder. Where PCA seeked directions that were efficient for representation, LDA seeked directions that were good at discriminating samples. Then, used FCM dynamic clustering calculate threshold to recognize face. Experiments on ORL face database used the combining algorithms above to extract features. The experimental result indicates that the recognition performance of classifier combination in decision level is superior to others, and is more robust.
%K principal component analysis(PCA)
%K linear discriminant analysis(LDA)
%K FCM dynamic clustening analysis
%K face recognition<br>主成分分析
%K 线性判别分析
%K 模糊C均值动态聚类算法
%K 人脸识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=61FB98A80939AFCB2CBF5E4859F6263E&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=94C357A881DFC066&sid=1569A0C6818E7615&eid=2F67C4FDB50F86BC&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12