Palmprint identification based on directional representation

Wei Jia, De Shuang Huang, Dacheng Tao, Dapeng Zhang

Research output: Journal article publicationConference articleAcademic researchpeer-review

18 Citations (Scopus)


In this paper, we propose a novel approach for palmprint identification, which contains two interesting components. Firstly, we propose the directional representation for appearance based approaches. The new representation is robust to drastic illumination changes and preserves important discriminative information for classification. We then generate virtual samples to enlarge the training set to compensate for matching errors caused by large rotations and translations. Based on these two strategies, the recognition performance of representative appearance based approaches can be improved significantly. Secondly, in order to improve the robustness of palmprint identification, we propose a fusion method combining proposed method and orientation based approaches e.g. Competitive Code, which can obtain very low Equal Error Rates.
Original languageEnglish
Article number4811509
Pages (from-to)1562-1567
Number of pages6
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Publication statusPublished - 1 Dec 2008
Event2008 IEEE International Conference on Systems, Man and Cybernetics, SMC 2008 - Singapore, Singapore
Duration: 12 Oct 200815 Oct 2008


  • Biometrics
  • Directional representation
  • Palmprint

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction


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