Face recognition based on wavelet packet decomposition and support vector machines

  • Li Min Cui*
  • , Yuan Yan Tang
  • , Fu Cheng Liao
  • , Xiu Feng Du
  • *Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

2 Citations (Scopus)

Abstract

Automated face detection and recognition is one of the most attentional branches of biometrics and it is also the one of the most active and challenging tasks for computer vision and pattern recognition. This paper present a method for face recognition based on wavelet packet decomposition and SVMs. The experiments show that the method has good performanceand reduce the greatly computation.

Original languageEnglish
Title of host publicationProceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR '07
PublisherIEEE
Pages1437-1441
Number of pages5
Volume3
ISBN (Electronic)9781424410668
ISBN (Print)1424410665, 9781424410651
DOIs
Publication statusPublished - 2 Nov 2007
Event2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2007 - Beijing, China
Duration: 2 Nov 20074 Nov 2007

Publication series

NameProceedings of the International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR
PublisherIEEE
ISSN (Print)2158-5695
ISSN (Electronic)2158-5709

Conference

Conference2007 International Conference on Wavelet Analysis and Pattern Recognition, ICWAPR 2007
Country/TerritoryChina
CityBeijing
Period2/11/074/11/07

User-Defined Keywords

  • Face recognition
  • Multi-class classification
  • SVMs
  • Wavelet packet decomposition

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