Face Recognition Using Principal Component Analysis and Wavelet Packet Decomposition

@article{Perlibakas2004FaceRU,
  title={Face Recognition Using Principal Component Analysis and Wavelet Packet Decomposition},
  author={Vytautas Perlibakas},
  journal={Informatica, Lith. Acad. Sci.},
  year={2004},
  volume={15},
  pages={243-250}
}
In this article we propose a novel Wavelet P acket Decomposition (WPD)-based modification of the classical Principal Component Anal ysis (PCA)-based face recognition method. The proposed modification allows to use PCA-based f ace recognition with a large number of training images and perform training much faster than using the traditional PCA-based method. The proposed method was tested with a database containing photographies of 423 persons and achieved 82–89% first one recognition rate. These… CONTINUE READING

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