Wavelet packet face representation and recognition

Abstract

A human face representation and recognition system, based on the wavelet packet method and the best basis selection algorithm, is proposed. Through conducting a set of experiments on three groups of training sets, the optimal transform basis (called the face basis), the best filter, and the best decomposition level are identified for the face image class. A face image is represented in a compressed form by its wavelet packet coefficients. For recognition, the compressed input face image is then compared against a database of compressed images of the known faces. The recognition results are presented.