Fusion of multiple features for palmprint authentication

Xiang Qian Wu, Kuan Quan Wang, Dapeng Zhang

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

3 Citations (Scopus)

Abstract

A palmprint image contains abundant features, such as the ridges, lines and textures, etc. Different features reflect the different characteristic of the palmprint. Fusion of multiple palmprint features may enhance the performance of a palmprint authentication system. In this paper, we investigate the fusion of two novel palmprint representations: orientationCode and diffCode. OrientationCode are defined using four directional templates and diffCode is computed using differential operation. Then these two codes are fused to measure the similarity of palmprints. The experimental results show that the proposed approach can get a very high accuracy.
Original languageEnglish
Title of host publicationProceedings of the 2006 International Conference on Machine Learning and Cybernetics
Pages3260-3265
Number of pages6
Volume2006
DOIs
Publication statusPublished - 1 Dec 2006
Event2006 International Conference on Machine Learning and Cybernetics - Dalian, China
Duration: 13 Aug 200616 Aug 2006

Conference

Conference2006 International Conference on Machine Learning and Cybernetics
CountryChina
CityDalian
Period13/08/0616/08/06

Keywords

  • Biometrics
  • DiffCode
  • Feature fusion
  • OrientationCode
  • Palmprint authentication

ASJC Scopus subject areas

  • Engineering(all)

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