Iris Recognition Algorithm Optimized for Hardware Implementation

Author

Grabowski, K. ; Sankowski, W. ; Napieralska, M. ; Zubert, M. ; Napieralski, A.

Author_Institution

Dept. of Microelectron. & Comput. Sci., Tech. Univ. of Lodz

fYear

2006

fDate

28-29 Sept. 2006

Firstpage

1

Lastpage

5

Abstract

Iris recognition is accepted as one of the most efficient biometric method. Implementing this method to the practical system requires the special image preprocessing where the iris feature extraction plays a crucial role. Recognition is preceeded by iris localization which consists in finding the iris boundaries as well as eyelids. In this paper the short introduction into iris localization and wavelet-based iris identification method optimized for embedded systems is described. Proposed solution was applied to high resolution images taken under near infrared light

Keywords

feature extraction; image recognition; biometric method; embedded system; eyelids; image preprocessing; iris boundaries; iris feature extraction; iris localization; iris recognition algorithm; wavelet-based iris identification; Embedded system; Eyelids; Feature extraction; Hardware; Histograms; Image resolution; Image segmentation; Infrared imaging; Iris recognition; Optical reflection;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Bioinformatics and Computational Biology, 2006. CIBCB '06. 2006 IEEE Symposium on

Conference_Location

Toronto, Ont.

Print_ISBN

1-4244-0623-4

Electronic_ISBN

1-4244-0624-2

Type

conf

DOI

10.1109/CIBCB.2006.330960

Filename

4133196