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Encoding and recognition of faces based on the human visual model and DCT

Ramasubramanian, D and Venkatesh, YV (2001) Encoding and recognition of faces based on the human visual model and DCT. In: Pattern Recognition, 34 (12). pp. 2447-2458.

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Official URL: http://dx.doi.org/10.1016/S0031-3203(00)00172-2


For encoding and recognizing human faces in monochrome images, we propose a new method based on a combination of the discrete cosine transform (DCT), principal component analysis (PCA), and the characteristics of the Human Visual System. The novel aspect of the proposed non-Bayesian, approach is that, in the course of the recognition of face images, we also achieve image compression (in the form of encoding). With the help of examples, we demonstrate the superiority and advantages of the new method in comparison with the results found in the literature.

Item Type: Journal Article
Publication: Pattern Recognition
Publisher: Pergamon
Additional Information: Copyright of this article belongs to Elsevier Science Ltd.
Keywords: Face recognition;Encoding of patterns;Decoding of patterns; Discrete cosine transform (DCT);Principal component analysis (PCA);Human visual system
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 01 Jul 2004
Last Modified: 09 Jan 2012 08:30
URI: http://eprints.iisc.ac.in/id/eprint/499

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