Robust person identification system using iris

Author

Patil, Praveen S. ; Kolhe, Satish R. ; Rane, Milind E. ; Patil, Pradeep M.

Author_Institution

Comput. Sci. Dept., North Maharashtra Univ., Jalgaon, India

fYear

2009

fDate

8-10 Dec. 2009

Firstpage

1

Lastpage

5

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.

Keywords

feature extraction; image matching; iris recognition; visual databases; feature extraction; iris feature matching; iris recognition system; localization technique; noninvasive biometric assessment; robust person identification system; Biometrics; Computer science; Feature extraction; Fingerprint recognition; Humans; Iris recognition; Pattern recognition; Principal component analysis; Robustness; Waveguide discontinuities; Iris recognition; LOG;

fLanguage

English

Publisher

ieee

Conference_Titel

Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on

Conference_Location

Macau

Print_ISBN

978-1-4244-4656-8

Electronic_ISBN

978-1-4244-4657-5

Type

conf

DOI

10.1109/ICICS.2009.5397749

Filename

5397749