SVM Classification for Face Recognition
Faten Bellakhdhar, Kais Loukil, Mohamed ABID
Journal of Intelligent Computing, Vol. 3, No. 4, 2012.
DOI: 
Link: http://www.dline.info/jic/fulltext/v3n4/3.pdf
Abstract:
Human face recognition has become an active area of research over the last decade. The major problem of face recognition is the classification. In this paper, a new face recognition algorithm based on fusion of 2DPCA and Gabor features with SVM classifier is presented. The method first extracts features by employing Gabor wavelets followed by a face recognition algorithm 2DPCA and the SVM method is applied to classify image faces. The performance of the proposed algorithm is tested on the public and largely used databases of FRGCv2 face and ORL databases. Experimental results on databases show that the use of SVM can achieve promising results.