A novel fisher criterion based approach for face recognition

@article{Zhang2013ANF,
  title={A novel fisher criterion based approach for face recognition},
  author={Chu Zhang and Wen-Sheng Chen},
  journal={2013 International Conference on Wavelet Analysis and Pattern Recognition},
  year={2013},
  pages={27-31}
}
Traditional Fisher linear discriminant analysis (FLDA) method is a promising algorithm for face recognition. However, FLDA does not utilize the geometric distribution information of the training face data, which will degrade its performance. In order to enhance the discriminant power of FLDA, this paper proposes a novel Fisher criterion by using geometric distribution information of the training samples. The geometric distribution information based LDA (GLDA) algorithm is then developed for… CONTINUE READING

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