Feature enhancement and similarity suppression algorithm for noisy pattern recognition

被引：0
|
作者：
Stamos, E [1 ]
Selviah, DR [1 ]
机构：
[1] Univ London Univ Coll, Dept Elect & Elect Engn, London WC1E 7JE, England
来源：
OPTICAL PATTERN RECOGNITION IX | 1998年 / 3386卷
关键词：
optical pattern recognition; feature extraction; optical correlators; training algorithms; template or spatial filter design;
D O I：
10.1117/12.304763
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：182 / 189
页数：8
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