Recognition of facial images with low resolution using a Hopfield memory model

被引：17

作者：

Dai, Y ^{[1
]}

Nakano, Y ^{[1
]}

机构：

[1] Shinshu Univ, Dept Informat Engn, Nagano 380, Japan

来源：

PATTERN RECOGNITION | 1998年 / 31卷 / 02期

关键词：

face recognition; Hopfield model; associative memory;

D O I：

10.1016/S0031-3203(97)00040-X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a new method to recognize facial images with low resolution by utilizing the Hopfield model is presented. In this method, a Hopfield memory model for the facial images is organized and the optimal procedure of the unlearning is determined. Based on the composed Hopfield memory model, the relation between the reliability of the recalls and the number of faces memorized in the Hopfield memory is analyzed. Finally, the method for the face recognition using the Hopfield memory model combined with the pattern matching is proposed. The experimental results for face recognition are also represented and analyzed. (C) 1997 Pattern Recognition Society. Published by Elsevier Science Ltd.

引用

页码：159 / 167

页数：9

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