Fusion of palmprint and iris for personal authentication

Xiangqian Wu, Dapeng Zhang, Kuanquan Wang, Ning Qi

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationAdvanced Data Mining and Applications - Third International Conference, ADMA 2007, Proceedings
Number of pages10
Publication statusPublished - 1 Dec 2007
Event3rd International Conference on Advanced Data Mining and Applications, ADMA 2007 - Harbin, China
Duration: 6 Aug 20078 Aug 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4632 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference3rd International Conference on Advanced Data Mining and Applications, ADMA 2007

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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