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Comparing and Improving Algorithms for Iris Recognition

Rankin, D, Scotney, BW, Morrow, PJ, McDowell, R and Pierscionek, BK (2009) Comparing and Improving Algorithms for Iris Recognition. In: International Machine Vision and Image Processing Conference (IMVIP 2009), Dublin, Ireland. UNSPECIFIED. 6 pp. [Conference contribution]

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DOI: 10.1109/IMVIP.2009.25


The iris has been proposed as a reliable means of biometric identification. The importance of the iris as a unique identifier is predicated on the assumption that the iris is stable throughout a person's life. This does not take into account the fact that the iris changes in response to a number of external factors including medication, disease, surgery and age and is part of a dynamic optical system that alters with light levels and focussing distance. What is required is a means of identifying the features in the iris which do not alter over time from those that change in response to external factors. Iris segmentation issues and the effects of pupil dilation in identification are examined in this study using existing iris recognition algorithms and a series of images captured from three subjects. A technique that enhances segmentation is presented and discussed.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Life and Health Sciences > School of Biomedical Sciences
Faculty of Life and Health Sciences
Research Institutes and Groups:Biomedical Sciences Research Institute
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:9077
Deposited By: Professor Bryan Scotney
Deposited On:19 Jan 2010 14:46
Last Modified:23 May 2017 13:42

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