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Face Recognition Using Scale Invariant Feature Transform and Support Vector Machine

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4 Author(s)
Lichun Zhang ; Dept. of Comput. Sci. & Technol., East China Normal Univ., Shanghai ; Junwei Chen ; Yue Lu ; Wang, P.

Face recognition has received significant attention in the last decades for many potential applications. Recently, the scale invariant feature transform (SIFT) becomes an interesting technique for the task of object recognition. This paper investigated the application of the SIFT approach to the face recognition and proposed a new method based on SIFT and support vector machine (SVM) for the face recognition problem. First the SIFT features are generated and then SVM is used for the classification. The presented method has been tested with the ORL database and the Yale face database, and the recognition results demonstrate its robust performance under different expression conditions.

Published in:

Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for

Date of Conference:

18-21 Nov. 2008

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