DocumentCode
3057431
Title
Face Recognition Based on NMF and SVM
Author
Sun, Xia ; Zhang, Qingzhou ; Wang, Ziqiang
Author_Institution
Sch. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
Volume
1
fYear
2009
fDate
22-24 May 2009
Firstpage
616
Lastpage
619
Abstract
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.
Keywords
face recognition; image classification; support vector machines; SVM classifier; face recognition; non-negative matrix factorization; Classification algorithms; Electronic commerce; Face recognition; Image reconstruction; Linear discriminant analysis; Matrix converters; Principal component analysis; Scattering; Support vector machine classification; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-0-7695-3643-9
Type
conf
DOI
10.1109/ISECS.2009.98
Filename
5209813
Link To Document