Hand-based biometrics fusing palmprint and finger-knuckle-print

Linlin Shen, Li Bai, Zhen Ji

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

15 Citations (Scopus)

Abstract

Although biometrics technology has progressed substantially, its performance is still to be improved for real applications. This paper aims to improve the accuracy of personal identification, when only single sample is registered as template, by integrating multiple hand-based biometrics, i.e. palmprint and finger-knuckle-print. To make fusion much easier, the same feature, so called fusion code, and decision level fusion strategy are used. Experimental results show that much better performance than single modal biometrics has been achieved.

Original languageEnglish
Title of host publicationEmerging Techniques and Challenges for Hand-Based Biometrics, ETCHB 2010
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event1st International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics, ETCHB 2010 - Istanbul, Turkey
Duration: 22 Aug 201022 Aug 2010

Publication series

NameEmerging Techniques and Challenges for Hand-Based Biometrics, ETCHB 2010

Conference

Conference1st International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics, ETCHB 2010
Country/TerritoryTurkey
CityIstanbul
Period22/08/1022/08/10

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering

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