General theory research on phase-encoded morphological correlation for face recognition

摘要

General morphological correlation(GMC) is proposed. Two kinds of modified phase-encoded general morphological correlation are proposed. The gray-scale image is decomposed into a set of binary image slices in certain decomposition method. One situation is that the joint power spectrum of each pair is binarized or phase-encoded and then summed, another situation is that the summation of the joint power spectrums of these pairs is binarized or phase-encoded. Computer-simulation results indicate that the modified algorithm can improve the discrimination capabilities with respect to the high similarity gray-scale face images.