Identification of individuals through the morphological processing of the iris

Author

De Mira, Joaquim, Jr. ; Mayer, Joceli

Author_Institution

Dept. of Electr. Eng., Fed. Univ. of Santa Catarina, Florianopolis, Brazil

Volume

1

fYear

2003

fDate

14-17 Sept. 2003

Abstract

A new approach based on morphological operators is presented for identification of individuals by segmentation and analysis of the iris. Several morphological operators are developed to segment the iris region from the eye image and also to highlight chosen iris patterns. The extracted features are used to represent and uniquely characterize the iris. In order to properly extract the desired patterns, we also propose an algorithm to produce skeletons with unique paths among end-points. This new representation, obtained by the proposed morphological operators is stored for identification purposes. Results are presented to illustrate the efficiency of the identification system. The proposed system was derived to present low complexity implementation and low storage requirements.

Keywords

data structures; feature extraction; image reconstruction; image segmentation; image sequences; image thinning; mathematical morphology; pattern matching; data representation; features extraction; image segmentation; iris pattern identification; morphological processing; Biometrics; Character recognition; Digital signal processing; Educational technology; Feature extraction; Image segmentation; Iris recognition; Laboratories; Signal processing algorithms; Skeleton;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7750-8

Type

conf

DOI

10.1109/ICIP.2003.1246968

Filename

1246968