Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/34069
Title: Palmprint authentication technologies, systems and applications
Authors: Zhang, D 
Lu, G
Kong, AWK
Wong, M
Issue Date: 2004
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2004, v. 3338, p. 78-89 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: This paper presents a novel personal authentication system using palmprints. The technology uses the unique information extracted from palmprints (such as principal lines, wrinkles, and textures) during the authentication process to eliminate possible frauds that cannot be avoided by traditional methods (using password or cards). The uniqueness of features and robustness of algorithm make the system far superior to existing biometric systems. This paper first presents the system architecture construction and the algorithm design. Being a robust and reliable system, it was tested by more than 8,000 palmprint images with very low false acceptance rate (0.02%), and a relative high genuine acceptance rate (98.83%). The whole process time for once authentication is less than 1 second. Finally some possible applications are discussed which could be benefited by using palmprint technology.
URI: http://hdl.handle.net/10397/34069
ISSN: 0302-9743
EISSN: 1611-3349
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