Robust person identification system using iris

Authors:
Praveen S. Patil;Satish R. Kolhe;Milind E. Rane;Pradeep M. Patil
Affiliations:
Computer science department, North Maharashtra University, Jalgaon, India;Computer science department, North Maharashtra University, Jalgaon, India;Electronics engineering department, Vishwakarma Institute of Technology, Pune, India;Electronics engineering department, Vishwakarma Institute of Technology, Pune, India
Venue:
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
Year:
2009

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Abstract

Human iris provides a unique structure suitable for non-invasive biometric assessment. The irises are as distinct as fingerprints even for twins. In this paper a robust system for person identification is presented that uses a technique of localization, alignment, feature extraction, and matching the features of irises. A CASIA iris database has been used to observe the performance of the proposed iris recognition system. The results show that proposed method is quite effective.