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
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;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614885