{'fraction_non_alphanumeric': 0.016034985422740525, 'fraction_numerical': 0.0058309037900874635, 'mean_word_length': 5.87, '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}}
A dual-image template based fingerprint matching method

A new fingerprint matching method based on a dual-image template and an improved matching algorithm is presented in this paper. The proposed matching method is tested using images from FVC2002 fingerprint databases and demonstrates a superior performance compared with fingerprint matching algorithm using single-image template. Compared with other dual-image matching algorithms, the proposed algorithm has advantages of easy implementation. By taking advantages of dual-image template and improved matching algorithm, the proposed matching method improves matching accuracy and relaxes requirement on fingerprint image quality.