Iris Image Analysis Based on Affinity Propagation Algorithm

Authors:
Huabiao Xiao;Ping Guo
Affiliations:
Beijing Laboratory of Intelligent Information Technology, Beijing Institute of Technology, Beijing, China 100081 and School of Computer Science and Technology, Beijing Institute of Technology, Bei ...;School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China 100081
Venue:
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Year:
2009

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Abstract

Biometric identification is getting more and more popular as the demand of security increases. Iris is a promising biometric because of its stability and uniqueness. In this paper, a novel iris analysis method is proposed by using Affinity Propagation (AP) Algorithm. AP algorithm is a new clustering method by transforming the input matrix of similarity between pairs of data points. The proposed method is evaluated using the Chinese Academy of Sciences-Institute of Automation (CASIA) iris image database, the similarity between two irises is measured by their negative Hamming Distance. Experiments indicate that the algorithm has excellent solution in iris analysis, when AP algorithm is used as preprocess in an iris identification system, it can greatly decrease the time complexity of iris recognition.