Face recognition based on nonsubsampled contourlet transform and block-based kernel Fisher linear discriminant

@article{Wang2012FaceRB,
  title={Face recognition based on nonsubsampled contourlet transform and block-based kernel Fisher linear discriminant},
  author={Biao Wang and Weifeng Li and Qingmin Liao},
  journal={2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2012},
  pages={1533-1536}
}
Face representation, including both feature extraction and feature selection, is the key issue for a successful face recognition system. In this paper, we propose a novel face representation scheme based on nonsubsampled contourlet transform (NSCT) and block-based kernel Fisher linear discriminant (BKFLD). NSCT is a newly developed multiresolution analysis tool and has the ability to extract both intrinsic geometrical structure and directional information in images, which implies its… CONTINUE READING