M-band wavelet transform in face recognition system

Abstract

The low-frequency subband of DWT decomposition has been used as the important subband in face recognition system. But we believe that some subbands other than lowfrequency subband contain discriminative information. Consequently, a series of experiments are carried out to test the recognition accuracy on various combinations of the lowfrequency with some mid-and high-freqeuncy subbands and subbands that perform the best are selected. We use the M-band decomposition to decompose a face image into smaller frequency subbands. The resulting best combination of low-frequency subband and some subbands named as MBCom achieves a higher recognition rate as compared to the low-frequency subband alone. The MBCom is proposed to work in conjunction with PCA and it outperforms other feature extraction methods in term of recognition rate.