A review on Gabor wavelets for face recognition

Linlin Shen, Li Bai

Research output: Journal PublicationReview articlepeer-review

410 Citations (Scopus)


Due to the robustness of Gabor features against local distortions caused by variance of illumination, expression and pose, they have been successfully applied for face recognition. The Facial Recognition Technology (FERET) evaluation and the recent Face Verification Competition (FVC2004) have seen the top performance of Gabor feature based methods. This paper aims to give a detailed survey of state of the art 2D face recognition algorithms using Gabor wavelets for feature extraction. Existing problems are covered and possible solutions are suggested.

Original languageEnglish
Pages (from-to)273-292
Number of pages20
JournalPattern Analysis and Applications
Issue number2-3
Publication statusPublished - Oct 2006
Externally publishedYes


  • Face recognition
  • Gabor wavelets
  • Joint time-frequency analysis

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence


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