Gabor feature based classification using the enhanced Fisher linear discriminant model for face recognition

Chengjun Liu, Harry Wechsler

Research output: Contribution to journalArticlepeer-review

1583 Scopus citations

Abstract

This paper introduces a novel Gabor-Fisher Classifier (GFC) for face recognition. The GFC method, which is robust to changes in illumination and facial expression, applies the Enhanced Fisher linear discriminant Model (EFM) to an augmented Gabor feature vector derived from the Gabor wavelet representation of face images. The novelty of this paper comes from 1) the derivation of an augmented Gabor feature vector, whose dimensionality is further reduced using the EFM by considering both data compression and recognition (generalization) performance; 2) the development of a Gabor-Fisher classifier for multi-class problems; and 3) extensive performance evaluation studies. In particular, we performed comparative studies of different similarity measures applied to various classifiers. We also performed comparative experimental studies of various face recognition schemes, including our novel GFC method, the Gabor wavelet method, the Eigenfaces method, the Fisherfaces method, the EFM method, the combination of Gabor and the Eigenfaces method, and the combination of Gabor and the Fisherfaces method. The feasibility of the new GFC method has been successfully tested on face recognition using 600 FERET frontal face images corresponding to 200 subjects, which were acquired under variable illumination and facial expressions. The novel GFC method achieves 100% accuracy on face recognition using only 62 features.

Original languageEnglish (US)
Pages (from-to)467-476
Number of pages10
JournalIEEE Transactions on Image Processing
Volume11
Issue number4
DOIs
StatePublished - Apr 2002

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Graphics and Computer-Aided Design

Keywords

  • Eigenfaces
  • Enhanced Fisher linear discriminant model (EFM)
  • Face recognition
  • Fisher linear discriminant (FLD)
  • Gabor wavelets
  • Gabor-Fisher classifier (GFC)

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