Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16207
Title: A study of identical twins' palmprints for personal authentication
Authors: Kong, A
Zhang, D 
Lu, G
Issue Date: 2006
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2006, v. 3832 LNCS, p. 668-674 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Biometric recognition based on human characteristics for personal identification has attracted great attention. The performance of biometric systems highly depends on the distinctive information in the biometrics. However, identical twins having the closest genetics-based relationship are expected to have maximum similarity between their biometrics. Classifying identical twins is a challenging problem for some automatic biometric systems. In this paper, we summarize the exiting experimental results about identical twins' biometrics including face, iris, fingerprint and voice. Then, we systemically examine identical twins' palmprints. The experimental results show that we can employ low-resolution palmprint images to distinguish identical twins.
Description: International Conference on Biometrics, ICB 2006, Hong Kong, 5-7 January 2006
URI: http://hdl.handle.net/10397/16207
ISBN: 3540311114
9783540311119
ISSN: 0302-9743
EISSN: 1611-3349
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