{'fraction_non_alphanumeric': 0.017167381974248927, 'fraction_numerical': 0.0, 'mean_word_length': 5.3108108108108105, '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}}
Feature Set Comparison For Multi-segment Face Recognition

This paper compares several methods of defining feature sets for face recognition, for the case where the face is divided into a number of segments. It extends earlier work by the author which demonstrated, for the single-segment case, that recognition performance is relatively insensitive to the method of feature selection even when features are generated from random combinations of training-set images.