Face Recognition Based on PLS and HMM

In this paper, a face recognition scheme is proposed, wherein face images are preprocessed based on pixel averaging and energy normalization, and features are extracted successively with fast Fourier transform and the partial least squares for dimensionality reduction, and classification results are obtained by a classifier based on hidden Markov model. Some experimental results on the Olivetti Research Laboratory face database are presented to show the feasibility of the presented scheme.