{'fraction_non_alphanumeric': 0.017811704834605598, 'fraction_numerical': 0.005089058524173028, 'mean_word_length': 5.15625, '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}}
An identification method using thermo-image

Personal authentication with facial color/gray image has a problem that it is weak to the change of illumination. This paper proposes a new method for face authentication using characteristic facial parts extracted by a thermo-vision camera. Our method using only some characteristic facial parts is effective enough to obtain 90% recognition rate.