Iris recognition algorithm based on point covering of high-dimensional space and neural network

Authors:
Wenming Cao;Jianhui Hu;Gang Xiao;Shoujue Wang
Affiliations:
The College of Information Engineering, ZheJiang University of Technology, Hangzhou, China;The College of Information Engineering, ZheJiang University of Technology, Hangzhou, China;The College of Information Engineering, ZheJiang University of Technology, Hangzhou, China;Lab of Artificial Neural Networks, Institute of Semiconductors, CAS, Beijing, China
Venue:
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Year:
2005

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Abstract

In this paper, we constructed a Iris recognition algorithm based on point covering of high-dimensional space and Multi-weighted neuron of point covering of high-dimensional space, and proposed a new method for iris recognition based on point covering theory of high-dimensional space. 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 rejection rate is 98.9%, the correct cognition rate and the error rate are 95.71% and 3.5% respectively. The experimental results demonstrate that the rejection rate of test samples excluded in the training samples class is very high. It proves the proposed method for iris recognition is effective.