Wavelet-based PCA for human face recognition

Pong Chi YUEN*, D. Q. Dai, G. C. Feng

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

16 Citations (Scopus)

Abstract

This paper addresses the speed and accuracy problems in human face recognition. Wavelet transform is adopted to decompose an image and a particular frequency band is selected for PCA for face recognition. Experimental results show that the proposed method is better than the original PCA method in terms of both speed and accuracy.

Original languageEnglish
Pages223-228
Number of pages6
Publication statusPublished - 1998
EventProceedings of the 1998 IEEE Southwest Symposium on Image Analysis and Interpretation - Tucson, AZ, USA
Duration: 5 Apr 19987 Apr 1998

Conference

ConferenceProceedings of the 1998 IEEE Southwest Symposium on Image Analysis and Interpretation
CityTucson, AZ, USA
Period5/04/987/04/98

Scopus Subject Areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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