Design and Realizing of Face Recognition Algorithm

被引：0

作者：

Gu, Ming ^{[1
]}

机构：

[1] ShenZhen Polytech, Dept Software Engn, Shenzhen 518055, Peoples R China

来源：

ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 2 | 2011年 / 105卷

关键词：

Neural network; Fuzzy ART; Face recognition; Online;

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：

Structure and properties of fuzzy ART were described. Choice and match function were presented. In order to extracted face feature, low pass filter, cutting minimum intensity and generating vector histogram were used. Fuzzy ART used the vector histogram as the original input vector data to recognize face feature, when the fuzzy ART network parameters were selected properly, simulation experiments showed that maximum online recognition rate was 90.3% and offline recognition rate was nearly 100%.

引用

页码：263 / 268

页数：6

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