Paper
16 December 1992 Color human-face image recognition based on statistical model
Ke Liu, Ren Jiang, Yong-Qing Cheng, Jingyu Yang, Tao Yan
Author Affiliations +
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.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ke Liu, Ren Jiang, Yong-Qing Cheng, Jingyu Yang, and Tao Yan "Color human-face image recognition based on statistical model", Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); https://doi.org/10.1117/12.130876
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Cited by 1 scholarly publication.
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KEYWORDS
Facial recognition systems

Feature extraction

Image classification

Image processing

Light sources and illumination

Signal processing

Statistical analysis

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