23 March 1998 Feature enhancement and similarity suppression algorithm for noisy pattern recognition
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Abstract
A novel feature enhancement and similarity suppression algorithm is presented. This algorithm can be used for training matched filter based optical pattern recognition systems or for the correct recovery of noisy images from optical memories such as optical disks. The underlying theory and the results from computer simulations using human faces are presented. Some preliminary results have shown high probability of recognition in pattern recognition tests using the training data.
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Epaminondas Stamos, Epaminondas Stamos, David R. Selviah, David R. Selviah, "Feature enhancement and similarity suppression algorithm for noisy pattern recognition", Proc. SPIE 3386, Optical Pattern Recognition IX, (23 March 1998); doi: 10.1117/12.304763; https://doi.org/10.1117/12.304763
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