DocumentCode
1565937
Title
Application of Chaotic Neural Network on Face Recognition
Author
Zhang, Jin ; Li, Gung ; Le Wang ; Freeman, Walter J.
Author_Institution
Dept. of Biomedical Eng., Zhejiang Univ., Hangzhou
Volume
3
fYear
2005
Firstpage
1367
Lastpage
1372
Abstract
Based on the study of biological olfactory system, a chaotic neural network model called K set model has been setup. This chaotic neural network has potential on pattern recognition while presenting novel chaotic concept for signal processing. This paper studies the characteristics of the K set models and applies it to face recognition. Experimental results show that the chaotic model based on biological olfactory system has efficient performance for image pattern classification
Keywords
chaos; chemioception; face recognition; image classification; neural nets; K set model; biological olfactory system; chaotic neural network; face recognition; image pattern classification; pattern recognition; signal processing; Artificial neural networks; Biological system modeling; Brain modeling; Chaos; Face recognition; Feature extraction; Independent component analysis; Nerve fibers; Neural networks; Olfactory;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9422-4
Type
conf
DOI
10.1109/ICNNB.2005.1614885
Filename
1614885
Link To Document