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
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;
Conference_Titel :
Electronic Commerce and Security, 2009. ISECS '09. Second International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3643-9
DOI :
10.1109/ISECS.2009.98
