Application of multi-weighted neuron for iris recognition

Authors:
Wenming Cao;Jianhui Hu;Gang Xiao;Shoujue Wang
Affiliations:
The College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China and Lab. of Artificial Neural Networks, Institute of Semiconductors, CAS, Beijing, China;The College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China;The College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China;Lab. of Artificial Neural Networks, Institute of Semiconductors, CAS, Beijing, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Year:
2005

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Abstract

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.