Face Recognition Using Principal Component Analysis and RBF Neural Networks

@article{Thakur2008FaceRU,
  title={Face Recognition Using Principal Component Analysis and RBF Neural Networks},
  author={Sweta Thakur and Jamuna Kanta Sing and Dipak Kumar Basu and Mita Nasipuri and Mahantapas Kundu},
  journal={2008 First International Conference on Emerging Trends in Engineering and Technology},
  year={2008},
  pages={695-700}
}
In this paper, an efficient method for face recognition using principal component analysis (PCA) and radial basis function (RBF) neural networks is presented. Recently, the PCA has been extensively employed for face recognition algorithms. It is one of the most popular representation methods for a face image. It not only reduces the dimensionality of the image, but also retains some of the variations in the image data. After performing the PCA, the hidden layer neurons of the RBF neural… CONTINUE READING
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