Coding gabor features for multi-modal biometrics

Linlin Shen, Zhen Ji, Yuwen Li, Li Bai

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

7 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. To make fusion much easier, the same feature, so called fusion code, and decision level fusion strategy are used. Two fusion cases, face & palmprint and FKP & palmprint were taken as examples to verify the effectiveness. Experimental results show that much better performance than single modal biometrics has been achieved.

Original languageEnglish
Title of host publication2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings
Pages217-220
Number of pages4
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Chongqing, China
Duration: 21 Oct 201023 Oct 2010

Publication series

Name2010 Chinese Conference on Pattern Recognition, CCPR 2010 - Proceedings

Conference

Conference2010 Chinese Conference on Pattern Recognition, CCPR 2010
Country/TerritoryChina
CityChongqing
Period21/10/1023/10/10

Keywords

  • Fusion
  • Gabor feature
  • Multi-modal biometrics

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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