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Title: A novel personal authentication system using palmprint technology
Authors: Zhang, D 
Lu, G
Kong, AWK
Wong, M
Issue Date: 2005
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2005, v. 3776 LNCS, p. 147-156 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: In recent times, an increasing, worldwide effort has been devoted to the development of automatic personal identification systems that can be effective in a wide variety of security contexts. Palmprints have a number of unique advantages: they are rich in features such as principal lines, wrinkles, and textures and these provide stable and distinctive information sufficient for separating an individual from a large population. In this paper, we present a novel biometric authentication system to identify a person's identity by his/her palmprint. 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 authentication process is less than 1 second. Finally, some possible applications are discussed which could be benefited by using palmprint technology.
Description: 1st International Conference on Pattern Recognition and Machine Intelligence, PReMI 2005, Kolkata, 20-22 December 2005
ISBN: 3540305068
ISSN: 0302-9743
EISSN: 1611-3349
Appears in Collections:Conference Paper

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