Face Recognition Based on NMF and SVM

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.

关键词： face recognition non-negative matriz factorization (NMF) SVM

作者: Xia Sun Qingzhou Zhang Ziqiang Wang

作者单位: School of Computer Science and Technology Wuhan University of Technology Wuhan, China School of Information Science and Engineering Henan University of Technology Zhengzhou, China

会议类型: 国际会议

会议名称: Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)

会议地点: 南昌

会议语种:英文

页码: 616-619

在线出版日期: 2009-05-22（万方平台首次上网日期，不代表论文的发表时间）