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Journal of Applied Sciences

Year: 2010  |  Volume: 10  |  Issue: 6  |  Page No.: 506 - 511

Classification using Adaptive Multiscale Retinex and Support Vector Machine for Face Recognition System

M.M. Sani, K.A. Ishak and S.A. Samad


This study presents an efficient face recognition system based on Support Vector Machine. A lighting correction method, i.e., Adaptive multiscale retinex is introduced to reduce various lighting conditions before performing the classification task. The performance of this method is evaluated using the Yale and ORL databases. The recognition rate of the proposed method achieved up to 92% compared to the principal component analysis method with 73.7%.

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