Selection of Wavelet Subbands Using Genetic Algorithm for Face Recognition

Abstract

Abstract. In this paper, a novel representation called the subband face is proposed for face recognition. The subband face is generated from selected subbands obtained using wavelet decomposition of the original face image. It is surmised that certain subbands contain information that is more significant for discriminating faces than other subbands. The problem of subband selection is cast as a combinatorial optimization problem and genetic algorithm (GA) is used to find the optimum subband combination by maximizing Fisher ratio of the training features. The performance of the GA selected subband face is evaluated using three face databases and compared with other wavelet-based representations.

M-band wavelet transform in face recognition system

“…In [6], DWT is used to decompose the face image and genetic algorithm is used to select the optimal subbands. The results shown do not involve mid-and highfrequency subband.…”