A supervised learning framework for PCA-based face recognition using GNP fuzzy data mining

@article{Zhang2011ASL,
  title={A supervised learning framework for PCA-based face recognition using GNP fuzzy data mining},
  author={Deng Zhang and Shingo Mabu and Feng Wen and Kotaro Hirasawa},
  journal={2011 IEEE International Conference on Systems, Man, and Cybernetics},
  year={2011},
  pages={516-520}
}
Traditional PCA-based face recognition algorithms usually have low performance in the complicated illumination database. There are two reasons. One is that the number of classes is large compared with other classification problems. The other is that the data in the PCA domain distributes in a narrow space and overlaps frequently. This paper presents a novel supervised learning framework for PCA-based face recognition using Genetic Network Programming (GNP) fuzzy data mining (GNP-FDM). In the… CONTINUE READING