Face recognition based on 2D Fisherface approach

  title={Face recognition based on 2D Fisherface approach},
  author={Xiao-Yuan Jing and Hau-San Wong and David Zhang},
  journal={Pattern Recognition},
Two-dimensional (2D) discrimination analysis using methods such as 2D PCA and Image LDA is of interest in face recognition because it extracts discriminative features faster than one-dimensional (1D) discrimination analysis. However, existing 2D methods generally use more discriminative features and take longer to test than 1D methods. 2D PCA in particular cannot make full use of the Fisher discriminant criterion. Image LDA also has drawbacks in that it cannot perform 2D principal component… CONTINUE READING
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