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={Chengjun Liu and Harry Wechsler},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  year={2002},
  volume={11 4},
  pages={467-76}
}
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… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 2,171 citations. REVIEW CITATIONS

Topics

Statistics

0100200'04'06'08'10'12'14'16'18
Citations per Year

2,171 Citations

Semantic Scholar estimates that this publication has 2,171 citations based on the available data.

See our FAQ for additional information.