Does EigenPalm work? A System and Evaluation Perspective

  • Authors:
  • King-Hong Cheung;Adams Kong;David Zhang;Mohamed Kamel;Jane You

  • Affiliations:
  • Hong Kong Polytechnic University, Hung Hom, Hong Kong;Hong Kong Polytechnic University, Hung Hom, Hong Kong;Hong Kong Polytechnic University, Hung Hom, Hong Kong;University of Waterloo, Canada;Hong Kong Polytechnic University, Hung Hom, Hong Kong

  • Venue:
  • ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
  • Year:
  • 2006

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Abstract

Recently, there are keen interests in EigenPalm, which, collectively, refers to those methods that extract palmprint features directly from the appearance by means of Principal Component Analysis (PCA) for (dis)similarity matching. Encouraging results have been reported with the use of EigenPalm. However, we find a different story under a system and evaluation perspective. In this paper, we would like to introduce three issues that should be considered: the effects of templates from two different sessions, the effects of identical twins and the effects of unseen subjects. They are missing in the previous studies of EigenPalm.