DocumentCode
683904
Title
Face recognition based on neural network ensemble and feature fusion
Author
Dong, Jiwen ; Zhao, Lei ; Zhang, Liang
Author_Institution
School of Information Science and Engineering, University of Jinan, China
fYear
2013
fDate
23-25 March 2013
Firstpage
59
Lastpage
62
Abstract
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.
Keywords
Classification algorithms; Face; Face recognition; Feature extraction; Kernel; Neural networks; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2013 International Conference on
Conference_Location
Yangzhou
Print_ISBN
978-1-4673-5137-9
Type
conf
DOI
10.1109/ICIST.2013.6747500
Filename
6747500
Link To Document