McConnon, G. and Deravi, Farzin and Hoque, Sanaul and Sirlantzis, Konstantinos and Howells, Gareth (2012) Impact of common ophthalmic disorders on iris segmentation. In: 2012 5th IAPR International Conference on Biometrics (ICB). IEEE, pp. 277-282. ISBN 978-1-4673-0396-5. E-ISBN 978-1-4673-0397-2. (doi:10.1109/ICB.2012.6199820) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:35886)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.1109/ICB.2012.6199820 |
Abstract
As iris recognition moves from constrained indoor and near-infrared systems towards unconstrained on-the-move and at-a-distance systems, possibly using visible light illumination, interest in measurement of the fidelity of the acquired images and their impact on recognition performance has grown. However, the impact of the subject's physiological characteristics on the nature of the acquired images has received little attention. In this paper we catalog a selection of the most common ophthalmic disorders and investigate some of their characteristics including their prevalence and possible impact on recognition performance. The paper also includes an experimental exploration of the effect of such conditions on segmentation of the iris image.
Item Type: | Book section |
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DOI/Identification number: | 10.1109/ICB.2012.6199820 |
Uncontrolled keywords: | iris recognition; image segmentation; surgery; lenses; feature extraction |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Konstantinos Sirlantzis |
Date Deposited: | 31 Oct 2013 14:05 UTC |
Last Modified: | 05 Nov 2024 10:19 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/35886 (The current URI for this page, for reference purposes) |
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