%0 Journal Article
%T A Study on a New Method of Feature Extraction<br>一种新的图像特征抽取方法研究
%A WU Xiao-jun
%A YANG Jing-yu
%A WANG Shi-tong
%A LIU Tong-ming
%A <br>吴小俊
%A 杨静宇
%A 王士同
%A 刘同明
%J 中国图象图形学报
%D 2004
%I 
%X A study has been made on the algorithm of solving optimal set of discriminant vectors in this paper. A concise representation method of between-class scatter matrix and population scatter matrix is proposed theoretically based on theories of blocking matrix and optimization under certain conditions. A new algebraic method of feature extraction is presented. The most obvious advantage of the proposed algorithm is that the computation time decreases drastically. The statement is supported by the numerical simulation experiments on facial database of ORL. The experimental results indicate that high recognition rate can be obtained through the appropriate selection of the dimension of block matrix although there exists nonlinear relationship between recognition rate and dimension of block matrix. The proposed concise representation method of scatter matrix suits for all the applications of pattern recognition using Fisher criteria.
%K pattern recognition
%K feature extraction
%K disciminant analysis
%K generalized optimal set of discriminant vectors
%K face recognition<br>模式识别
%K 特征抽取
%K 鉴别分析
%K 广义最佳鉴别矢量集
%K 人脸识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=17E4288A8AC55DDA&yid=D0E58B75BFD8E51C&vid=9CF7A0430CBB2DFD&iid=0B39A22176CE99FB&sid=28F8B56DB6BEE30E&eid=76B5E24D6EC46B4B&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=3&reference_num=15