%0 Journal Article
%T RESEARCH OF AUTOMATIC FACE RECOGNITION BASED ON ICA<br>基于独立分量分析的人脸自动识别方法研究
%A DING Pei
%A Lu
%A MEI Jian
%A Feng
%A ZHANG Li
%A Ming
%A KANG Xue
%A Lei
%A <br>丁佩律
%A 梅剑锋
%J 红外与毫米波学报
%D 2001
%I Science Press
%X A combined method for automatic face recognition with both independent component analysis (ICA) and genetic algorithms (GA) was proposed. The fourth order blind identification (FOBI) algorithm was used to derive the independent sources out of the face images. To decrease the computing complexity, the dimension of the original image was reduced and GA was applied to the sources set to get an optimal subset of it. Faces can be recognized by classifying the coefficients of the face image projecting to the independent bases. The experiments in the face database show both a higher recognition rate than the eigenface method based on PCA and a lower computing complexity than the traditional ICA face recognition method.
%K independent component analysis (ICA)
%K principal component analysis (PCA)
%K genetic algorithms (GA)<br>独立分量分析
%K ICA
%K 主分量分析
%K PCA
%K 遗传算法
%K GA
%K 人脸
%K 自动识别
%K 图像处理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=D40AB874037CC6878BFB0D3334473550&yid=14E7EF987E4155E6&vid=A04140E723CB732E&iid=94C357A881DFC066&sid=3E3EF0DB5E6F2DA9&eid=F7496043B4F12D75&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=13&reference_num=1