Face recognition based on weighed wavelet decomposition and PCA

Wavelet decomposition is able to reduce the dimension of face image without losing image information,so it is suitable for wavelet transform to represent face feature.Face feature based on low frequency subband is extracted through PCA,and distance of testing face to training face based on low frequency subband is computed,so does face feature based on high frequency subband.Then,the new distance function can be computed by weighed distances.Experiment shows that this method can reduce training time with high classification accuracy.