%0 Journal Article
%T Study for Within-Class Average Face Method Based on PCA in Face Recognition<br>PCA类内平均脸法在人脸识别中的应用研究
%A HE Guo-hui
%A GAN Jun-ying
%A <br>何国辉
%A 甘俊英
%J 计算机应用研究
%D 2006
%I 
%X Face recognition is an active subject in the area of biometrical recognition technology,and lots of achievements have been obtained.Principal Components Analysis(PCA) is a basic method widely used in face feature extraction and recognition.In this paper,combined with the characteristics of traditional PCA,a method based on normalization of within-class average face image is presented,in which the classification distance of between-class samples is enlarged, while the classification distance of within-class samples is reduced.Thus face correct recognition rate is improved.Experimental results on ORL face database show that the method discussed has reached 98% of correct recognition rate,and is feasible in practical applications of face recognition.
%K Face Recognition
%K PCA
%K Eigenfaee
%K Within-Class Average Face<br>人脸识别
%K PCA算法
%K 特征脸
%K 类内平均脸
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=23FA7F9551D0963F&yid=37904DC365DD7266&vid=EA389574707BDED3&iid=38B194292C032A66&sid=31611641D4BB139F&eid=43608FD2E15CD61B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=11&reference_num=6