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

@article{Liu2002GaborFB,
  title={Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition},
  author={C. Liu and H. Wechsler},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={2002},
  volume={11 4},
  pages={
          467-76
        }
}
  • C. Liu, H. Wechsler
  • Published 2002
  • Mathematics, Medicine, Computer Science
  • IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
This paper introduces a novel Gabor-Fisher (1936) 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… Expand
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