Does EigenPalm work? A system and evaluation perspective

King Hong Cheung, Adams Kong, Dapeng Zhang, Mohamed Kamel, Jia You

Research output: Journal article publicationConference articleAcademic researchpeer-review

15 Citations (Scopus)


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.
Original languageEnglish
Article number1699874
Pages (from-to)445-448
Number of pages4
JournalProceedings - International Conference on Pattern Recognition
Publication statusPublished - 1 Dec 2006
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, Hong Kong
Duration: 20 Aug 200624 Aug 2006

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition


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