Application of a novel neural network to face recognition based on DWT

被引：0
|
作者：
Zhang, Jin [1 ,2 ]
Lou, Zhenguo [1 ]
Li, Guang [1 ]
Freeman, Walter J. [3 ]
机构：
[1] Zhejiang Univ, Dept Biomed Engn, Hangzhou 310027, Peoples R China
[2] Hunan Univ, Software Coll, Changsha 410082, Hunan, Peoples R China
[3] Univ Calif Berkeley, Div Neurobiol, Berkeley, CA 94720 USA
来源：
2006 1ST IEEE RAS-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS, VOLS 1-3 | 2006年
基金：
中国国家自然科学基金;
关键词：
bionic neural networks; pattern recognition; discrete wavelet transform; face recognition;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Based on studies of the biological olfactory system, a chaotic neural network model called a K-set has been constructed. This nonlinear neural network is trained to sustain a landscape of chaotic attractors for use in signal processing. Based on the idea of image partition and the discrete wavelet transform (DWT), this paper applies the chaotic neural network to face recognition. Experimental results show that the chaotic model performs image pattern classification efficiently.
引用
收藏
页码：212 / +
页数：2
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