Face Recognition Based on Neural Network Ensemble and Feature Fusion

被引：0
|
作者：
Dong, Jiwen [1 ]
Zhao, Lei [2 ]
Zhang, Liang [2 ]
机构：
[1] Univ Jinan, Sch Informat Sci & Engn, Jinan, Peoples R China
[2] Shandong Prov Key Lab Network Based Intelligent C, Jinan 250022, Peoples R China
来源：
2013 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY (ICIST) | 2013年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a fusion of multiple features method based on integrated neural network was proposed. Firstly, KPCA algorithm was used to extract the overall recognition features. Then, the KICA algorithm was used to extract the local features. Finally, the BP and PNN neural network were used to recognize the result of the both algorithms. The method solved the interference caused by the external factors and got high correct rate of classification.
引用
收藏
页码：59 / 62
页数：4
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