Face recognition using neural networks and pattern averaging

被引：0

作者：

Khashman, Adnan ^{[1
]}

机构：

[1] Near East Univ, Dept Elect & Elect Engn, Lefkosa, N Cyprus, Turkey

来源：

ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS | 2006年 / 3972卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The human ability to recognize objects has not so far been matched by intelligent machines. This is more evident when it comes to recognizing faces, where a quick human "glance" is sufficient to recognize a "familiar" face. Face recognition has recently attracted more research aimed at developing reliable recognition by machines. Current face recognition methods rely on detecting certain features within a face and using these features for face recognition. This paper introduces a novel approach to face recognition by simulating our ability to recognize "familiar" faces after a quick "glance" using pattern averaging and neural networks. A real-life application will be presented throughout recognizing the faces of 30 persons. Time costs and the neural network parameters will be described, in addition to future work aimed at further improving the developed system.

引用

页码：98 / 103

页数：6

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