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题名: Application of multi-weighted neuron for iris recognition
作者: Cao WM;  Hu JH;  Xiao G;  Wang SJ
发表日期: 2005
摘要: In this paper, from the cognition science point of view, we constructed a neuron of multi-weighted neural network, and proposed a new method for iris recognition based on multi-weighted neuron. In this method, irises are trained as "cognition" one class by one class, and it doesn't influence the original recognition knowledge for samples of the new added class. The results of experiments show the correct rejection rate is 98.9%, the correct cognition rate and the error recognition rate are 95.71% and 3.5% respectively. The experimental results demonstrate that the correct rejection rate of the test samples excluded in the classes of training samples is very high. It proves the proposed method for iris recognition is effective.
刊名: ADVANCES IN NEURAL NETWORKS - ISNN 2005
专题: 中国科学院半导体研究所(2009年前)_期刊论文

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推荐引用方式:
Cao, WM; Hu, JH; Xiao, G; Wang, SJ .Application of multi-weighted neuron for iris recognition ,ADVANCES IN NEURAL NETWORKS - ISNN 2005,2005 ,PT 2 PROCEEDINGS 3497(0):87-92
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