A Fast and Robust Method for Iris Localization

Author

Umer, Saiyed ; Dhara, Bibhas Chandra ; Chanda, Bhabatosh

Author_Institution

Indian Stat. Inst., India, Kolkata, India

fYear

2014

Firstpage

262

Lastpage

267

Abstract

A novel method for localization of iris images is proposed in this paper. Especially the iris localization plays a vital role in an iris recognition system such that it increases both speed and performances of the recognition system to a great extent. The process of iris localization is used to detect an annular region between the pupil (black portion) and the sclera (white portion) of an eye. Here, for iris localization, we use a modified version of Circular Hough transform for both pupil and iris segmentation. Extensive experimental results have been performed to show that proposed algorithm has satisfying performance as compared to existing methods for iris localization. The performance of the proposed system is tested with IITD and MMU1 iris databases.

Keywords

Hough transforms; image segmentation; iris recognition; object detection; IITD iris database; MMU1 iris database; circular Hough transform; eye pupil detection; eye sclera detection; iris image localization; iris recognition system; iris segmentation; pupil segmentation; recognition system; Databases; Image edge detection; Image segmentation; Iris; Iris recognition; Robustness; Transforms; biometric; circular Hough transform; inner boundary; iris localization; outer boundary;

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Applications of Information Technology (EAIT), 2014 Fourth International Conference of

Type

conf

DOI

10.1109/EAIT.2014.28

Filename

7052056