Biometric personal identification based on iris patterns

Author

Zhu, Yong ; Tan, Tieniu ; Wang, Yunhong

Author_Institution

Inst. of Autom., Acad. Sinica, Beijing, China

Volume

2

fYear

2000

fDate

2000

Firstpage

801

Abstract

A new system for personal identification based on iris patterns is presented in this paper. It is composed of iris image acquisition, image preprocessing, feature extraction and classifier design. The algorithm for iris feature extraction is based on texture analysis using multichannel Gabor filtering and wavelet transform. Compared with existing methods, our method employs the rich 2D information of the iris and is translation, rotation, and scale invariant

Keywords

biometrics (access control); eye; feature extraction; filtering theory; image classification; image texture; wavelet transforms; 2D information; biometric personal identification; classifier design; eye; feature extraction; image preprocessing; iris image acquisition; iris patterns; multichannel Gabor filtering; rotation invariant method; scale invariant method; texture analysis; translation invariant method; wavelet transform; Automation; Biometrics; Feature extraction; Fingerprint recognition; Image analysis; Image color analysis; Iris recognition; Laboratories; Lighting; Pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2000. Proceedings. 15th International Conference on

Conference_Location

Barcelona

ISSN

1051-4651

Print_ISBN

0-7695-0750-6

Type

conf

DOI

10.1109/ICPR.2000.906197

Filename

906197