Author: Liu Haisong Wu Minxian Jin Guofan Yan Yingbai
Publisher: Taylor & Francis Ltd
ISSN: 1362-3044
Source: Journal of Modern Optics, Vol.46, Iss.3, 1999-03, pp. : 529-539
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Abstract
The use of similarity measure techniques on the optical correlation output plane is analysed as a method to improve the discrimination ability of pattern recognition procedures. The study is divided into two parts: one recounts a computer simulated example corresponding to pattern recognition by the use of input images that may be blurred, rotated or corrupted by additive Gaussian noise, and the second part describes a real optical processor for real-time human face recognition, in which the simple similarity measure based postprocessing method plays an important role for improving the discrimination ability while saving much processing time.
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