Face Recognition Based on NMF and SVM

被引：4
|
作者：
Sun, Xia [1 ]
Zhang, Qingzhou [2 ]
Wang, Ziqiang [2 ]
机构：
[1] Wuhan Univ Technol, Sch Comp Sci & Technol, Wuhan 430070, Peoples R China
[2] Henan Univ Technol, Sch Informat Sci & Engn, Zhengzhou, Peoples R China
来源：
PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON ELECTRONIC COMMERCE AND SECURITY, VOL I | 2009年
基金：
中国国家自然科学基金;
关键词：
face recognition; non-negative matrix factorization (NMF); SVM; EIGENFACES;
D O I：
10.1109/ISECS.2009.98
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Face recognition has received growing attention because of its wide applications. In this paper, an efficient face recognition algorithm based on non-negative matrix factorization (NMF) and SVM is proposed. The high dimension face images are first projected into a lower-dimensional subspace using NMF. The SVM classifier is then used to classify the face image into different classes. The experimental results demonstrate the effectiveness of the proposed algorithm.
引用
收藏
页码：616 / +
页数：2
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