抄録
This paper proposes four types of classification methods, by combining of two feature extracting approaches (TPCA/KPCA) and two classifiers (k-NN/ANN), to develop the multi-aimed face recognition system. Experimental results using several face databases confirm that the classification method combined with "KPCA+k-NN" is most suitable for the recognition tasks.
