{'fraction_non_alphanumeric': 0.02092050209205021, 'fraction_numerical': 0.0, 'mean_word_length': 5.468468468468468, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
General theory research on phase-encoded morphological correlation for face recognition

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.