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Proceedings Paper

Color human-face image recognition based on statistical model
Author(s): Ke Liu; Ren Jiang; Yong-Qing Cheng; Jingyu Yang; Tao Yan
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Paper Abstract

A novel method of color human face image recognition is presented in this paper. First, an input color face image is transformed into a monochrome image which contains enough useful information for recognition. This monochrome image is then transformed into a standard image. The face recognition is completed via classification of the projective feature vectors of the standard image by a minimum distance classifier. Experimental results showed that the method is effective.

Paper Details

Date Published: 16 December 1992
PDF: 6 pages
Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); doi: 10.1117/12.130876
Show Author Affiliations
Ke Liu, East China Institute of Technology (Canada)
Ren Jiang, East China Institute of Technology (China)
Yong-Qing Cheng, East China Institute of Technology (United States)
Jingyu Yang, East China Institute of Technology (China)
Tao Yan, East China Institute of Technology (China)


Published in SPIE Proceedings Vol. 1766:
Neural and Stochastic Methods in Image and Signal Processing
Su-Shing Chen, Editor(s)

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