Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17630
Title: Fusion of palmprint and iris for personal authentication
Authors: Wu, X
Zhang, D 
Wang, K
Qi, N
Issue Date: 2007
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2007, v. 4632 LNAI, p. 466-475 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Traditional personal authentication methods have many instinctive defects. Biometrics is an effective technology to overcome these defects. The unimodal biometric systems, which use a single trait for authentication, can result in some problems like noisy sensor data, non-universality and/or lack of distinctiveness of the biometric trait, unacceptable error rates, and spoof attacks. These problems can be addressed by using multi-biometric features in the system. This paper investigates the fusion of palmprint and iris for personal authentication. The features of the palmprint and the iris are first extracted and matched respectively. Then these matching distances are normalized. Finally, the normalized distances are fused to authenticate the identity. The experimental results show that combining palmprint and iris can dramatically improve the accuracy of the system.
Description: 3rd International Conference on Advanced Data Mining and Applications, ADMA 2007, Harbin, 6-8 August 2007
URI: http://hdl.handle.net/10397/17630
ISBN: 9783540738701
ISSN: 0302-9743
EISSN: 1611-3349
Appears in Collections:Conference Paper

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

7
Last Week
0
Last month
Citations as of Oct 12, 2018

Page view(s)

72
Last Week
0
Last month
Citations as of Oct 15, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.