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M. S. Bartlell, J. R. Movellan and T. J. Se Jnow Ski, “Face Recognition by Independent Component Analysis,” IEEE Transon Neural Networks, Vol. 13, No. 6, 2002, pp. 1450-1464. doi:10.1109/TNN.2002.804287

has been cited by the following article:

• TITLE: Face Recognition Feature Comparison Based SVD and FFT

  AUTHORS: Lina Zhao, Wanbao Hu, Lihong Cui

  KEYWORDS: Face Recognition; Feature Extraction; SVD; FFT

  JOURNAL NAME: Journal of Signal and Information Processing, Vol.3 No.2, May 30, 2012

  ABSTRACT: SVD and FFT are both the efficient tools for image analysis and face recognition. In this paper, we first study the role of SVD and FFT in both filed. Then the decomposition information from SVD and FFT are compared. Next, a new viewpoint that the singular value matrix contains the illumination information of the image is proposed and testified by the experiments based on the ORL face database finally.