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SVM and adaboost-based classifiers with fast PCA for face reocognition

Face recognition has been receiving continuous academic and commercial attention for the last decades. In this paper, we construct two face recognition systems adopting SVM and Adaboost as the classifiers with fast PCA for facial feature representation. The detailed discussions about algorithm realization are given. Comparison between the two systems and analysis of them are provided through several experiments on ORL face database. We also test them on face images under various conditions.