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Mathematical Problems in Engineering
Volume 2014 (2014), Article ID 684212, 14 pages
Research Article

A Novel Iris Segmentation Scheme

1Department of Electronic Engineering, National Chin-Yi University of Technology, No. 57, Section 2, Zhongshan Road, Taiping District, Taichung 41170, Taiwan
2Department of Computer Science and Engineering, National Chung-Hsing University, 250 Kuo Kuang Road, Taichung 402, Taiwan
3Department of Nuclear Medicine, Bankstown-Lidcombe Hospital, Eldridge Road, Bankstown, NSW 2200, Australia

Received 25 February 2014; Accepted 13 April 2014; Published 11 May 2014

Academic Editor: Her-Terng Yau

Copyright © 2014 Chen-Chung Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


One of the key steps in the iris recognition system is the accurate iris segmentation from its surrounding noises including pupil, sclera, eyelashes, and eyebrows of a captured eye-image. This paper presents a novel iris segmentation scheme which utilizes the orientation matching transform to outline the outer and inner iris boundaries initially. It then employs Delogne-Kåsa circle fitting (instead of the traditional Hough transform) to further eliminate the outlier points to extract a more precise iris area from an eye-image. In the extracted iris region, the proposed scheme further utilizes the differences in the intensity and positional characteristics of the iris, eyelid, and eyelashes to detect and delete these noises. The scheme is then applied on iris image database, UBIRIS.v1. The experimental results show that the presented scheme provides a more effective and efficient iris segmentation than other conventional methods.