{'fraction_non_alphanumeric': 0.015625, 'fraction_numerical': 0.0, 'mean_word_length': 5.40625, '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}}
Dual-mode decision fusion for fingerprint and finger vein recognition based on image quality evaluation

To overcome the influence of image quality on single-mode recognition systems, a novel fingerprint and finger vein dual-mode recognition algorithm based on image quality evaluation is proposed. This method fuses the image quality scores of both fingerprint and finger vein in a novel way, to overcome the influence of image quality on identification results. Two classifiers are then designed for fingerprint and finger vein recognition, respectively. The final recognition is achieved by the fusion of the two quality scores and classifiers' recognition results at the decision level. This is a novel quality evaluation of both fingerprint and finger vein. This method not only overcomes the limitations of image quality on single-modal biometrics, but also effectively improves the recognition performance of the system, thus demonstrating the validity of the method when used for multimodal biometric identification.