Shen JY, Ding TY, Zhang YX, Mu GG. Real-time pattern recognition system based on a bipolar winner-take-all model with a threshold.
OPTICS LETTERS 1994;
19:2158-2160. [PMID:
19855772 DOI:
10.1364/ol.19.002158]
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Abstract
A threshold is added to recognize an input pattern that has too few similarities to be one of the memory patterns. A real-time pattern recognition system based on the improved model is given. The unipolar optical pattern recognition system has all the characteristics of a fully bipolar winner-take-all model and has illumination invariance. A liquid-crystal spatial light modulator is used as a real-time input device, and a mask and a lens array perform the threshold and weighted sums of the input pattern. Some experimental results are also shown.
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