{'fraction_non_alphanumeric': 0.016216216216216217, 'fraction_numerical': 0.0, 'mean_word_length': 5.333333333333333, '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}}
Research on Multi-feature Fusion Algorithm for Facial Expression Recognition System

Facial expression recognition has played a significant role in harmonious human-computer interaction, and feature extraction is the key step for the final recognition result. In the part of feature extraction, a fusion information generally has a number of advantages over a single feature information. The traditional serial features fusion technique is the most common fusion method, but there is a constant problem existing in the above fusion method: the curse of the dimension. For solving the problem, a new fusion method is proposed. Extensive experiments illustrate that the new image fusion method has higher recognition rate and better realtime.