A new approach to appearance-based face recognition

K. H. Cheung, A. Kong, Jia You, Q. Li, Dapeng Zhang, Prabir Bhattacharya

Research output: Journal article publicationConference articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

Current holistic appearance based face recognition methods require a high dimensional feature space to attain fruitful performance. In this paper, we have proposed a relatively low feature dimensional, template-matching scheme to cope with the transformed appearance-based face recognition problem. We use aggregated Gabor filter responses to represent face images. We investigated the effect of "duplicate" images (images from different sessions) and the effect of facial expressions. Our results indicate that the proposed method is more robust in recognizing "duplicate" images with variations in facial expression than the Principal Component Analysis method.
Original languageEnglish
Pages (from-to)1686-1691
Number of pages6
JournalConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume2
Publication statusPublished - 30 Nov 2005
EventIEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics - Waikoloa, HI, United States
Duration: 10 Oct 200512 Oct 2005

Keywords

  • Biometrics
  • Gabor filter feature
  • Holistic face recognition
  • Low feature dimensional

ASJC Scopus subject areas

  • Engineering(all)

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