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Proceedings Paper

Face recognition based on wavelet transform and variance similarity
Author(s): Dezhong Zheng; Fayi Cui
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Paper Abstract

The image match for face recognition is studied. Variances of sequences in relation to facial images are computed, and the weights used for computation of similarity are obtained by a certain transform between the variance and weight. The weights based on the better theoretical derivation have good stability. And the variance similarity calculated by these weights is of great adaptability, weakening the impact of interferences including the noise and deformation of images. Wavelet transform is a very good method about image compression, by which redundancies of the image are removed and original features of the image are reserved. Whereas pixels of a facial image are usually larger, wavelet transform is used to extract the low-frequency images. And then each facial variance similarity is computed based on the matrix of the low-frequency image. Finally, the image match is carried out for face recognition. The experiments show that the proposed method has the characteristics of simple realization, rapid recognition speed and high recognition rate.

Paper Details

Date Published: 31 December 2008
PDF: 7 pages
Proc. SPIE 7130, Fourth International Symposium on Precision Mechanical Measurements, 71303M (31 December 2008); doi: 10.1117/12.819689
Show Author Affiliations
Dezhong Zheng, Yanshan Univ. (China)
Fayi Cui, Yanshan Univ. (China)

Published in SPIE Proceedings Vol. 7130:
Fourth International Symposium on Precision Mechanical Measurements
Yetai Fei; Kuang-Chao Fan; Rongsheng Lu, Editor(s)

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