{'fraction_non_alphanumeric': 0.036328871892925434, 'fraction_numerical': 0.0038240917782026767, 'mean_word_length': 5.462962962962963, '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 multimodal biometric-based user-identification system for internet use

Internet security services, such as confidentiality, authentication, integrity, and nonrepudiation, rely on public-key cryptography services as well as on techniques to identify the user. Traditional user-identification techniques, such as passwords, personal identification numbers, card keys, etc., cannot differentiate between an authorized person and a fraudulent impostor. Biometrics is an emerging technology that identifies users by their physical and/or behavioural characteristics, and so inherently requires that the users to be identified are physically present at the point of identification. This paper describes the design and development of a prototype, scanner-based system for the automatic identification of an individual based on the fusion of palm-print, finger and hand-geometry features at the matching-score level. The test performance, FAR = 0.0 % and FRR = 0.2 %, suggests that the system can be used in medium/high-security internet environments.