%0 Journal Article
%T Face Recognition Using Improved Null Space Method Based on DCT<br>基于DCT的改进零空间人脸识别算法
%A Zhao Chuan-qiang
%A Wang Hui-yuan
%A Wu Xiao-juan
%A <br>赵传强
%A 王汇源
%A 吴晓娟
%J 电子与信息学报
%D 2008
%I 
%X Linear Discriminant Analysis(LDA) is one of the most popular linear projection techniques for feature extraction. The major drawback of applying LDA is that it often encounters the Small Sample Size(SSS) problem. Besides, their optimization criteria is not directly related to the classification accuracy. In this paper, an improved null space LDA method based on DCT is proposed to solve both problems. First, by employing the DCT instead of the “pixel grouping” and redefining the within class scatter matrix, a new null space method is given. Then, combining this method with F-LDA an efficient new feature extraction algrithm is proposed for face recognition. Experimental results show that this method achieves better performance than existing ones.
%K Face recognition&prev_q=Face recognition')">Face recognition" target="_blank">Face recognition')">Face recognition
%K Linear Discriminant Analysis(LDA)
%K DCT
%K Null space
%K Fractional-LDA&prev_q=')">Fractional-LDA" target="_blank">')">Fractional-LDA<br>人脸识别
%K 线性判别分析
%K DCT
%K 零空间
%K F-LDA
%K 改进
%K 零空间法
%K 人脸识别
%K 识别算法
%K Based
%K Method
%K Null
%K Space
%K Improved
%K Recognition
%K 验证
%K 线性特征提取
%K 结合
%K 散布矩阵
%K 义类
%K 聚类
%K 像素
%K 使用
%K 小样本问题
%K 相关
%K 识别率
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=5BD326AEB112F889103021FA44675E08&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=DF92D298D3FF1E6E&sid=387FB6C3BA4B6547&eid=457F754A679A9D25&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=10