Recognition of Noisy Facial Images Employing Transform - Domain Two-Dimensional Principal Component Analysis

@article{Abdelwahab2006RecognitionON,
  title={Recognition of Noisy Facial Images Employing Transform - Domain Two-Dimensional Principal Component Analysis},
  author={Moataz M. Abdelwahab and Wasfy B. Mikhael},
  journal={2006 49th IEEE International Midwest Symposium on Circuits and Systems},
  year={2006},
  volume={1},
  pages={596-599}
}
A Transform Domain Two-Dimensional Principal Component Analysis algorithm (TD2DPCA) applied to facial recognition in the presence of noise is presented. The new algorithm maintains high recognition accuracy in the presence of noise. In addition, the TD2DPCA has attractive properties with respect to storage and computational requirements. As the storage requirements are reduced by more than 90 percent, and the computational speed is reduced by a factor of two, compared with the spatial 2DPCA… CONTINUE READING