%0 Journal Article
%T Integration of Global and Local Feature for Face Recognition<br>基于全局和局部特征集成的人脸识别
%A SU Yu
%A SHAN Shi-Guang
%A CHEN Xi-Lin
%A GAO Wen
%A <br>苏煜
%A 山世光
%A 陈熙霖
%A 高文
%J 软件学报
%D 2010
%I 
%X This paper proposes to combine the global and local facial features in both serial and parallel manner. Firstly, global features are used for coarse classification. Then, global and local features are integrated for fine classification. In the proposed method, global and local features are extracted by Discrete Fourier Transform (DFT) and Gabor Wavelets Transform (GWT) respectively. Experiments on two large scale face databases (FERET and FRGC v2.0) validate that the proposed method can not only greatly increase the system accuracy but also improve the system speed.
%K face recognition
%K Fourier transform
%K Gabor wavelet
%K global feature
%K local feature
%K classifier integration<br>人脸识别
%K 傅里叶变换
%K Gabor小波
%K 全局特征
%K 局部特征
%K 分类器集成
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=2BBB2323BD6A75AEE23D79604821BE98&yid=140ECF96957D60B2&vid=659D3B06EBF534A7&iid=5D311CA918CA9A03&sid=2F9DAF60B46325CC&eid=1A1522797E8D4D41&journal_id=1000-9825&journal_name=软件学报&referenced_num=1&reference_num=28