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A novel method for sclera recognition with images captured on-the-move and at-a-distance

Lookup NU author(s): Sinan Alkassar, Dr Wai Lok Woo, Emeritus Professor Satnam Dlay, Professor Jonathon Chambers


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Sclera blood vessels have been investigated recently as an efficient biometric trait. Capturing this part of the eye with a normal camera using visible-wavelength images rather than near infrared images has provoked research interest. However, processing noisy sclera images captured at-a-distance and on the-move has not been extensively investigated. Therefore in this paper, we propose a new method for minimizing the effect of distance on sclera recognition. This method involves sclera template rotation alignment and a distance scaling method to minimize the error rates when noisy eye images are captured at-a-distance and on-the-move. The experimental results using the on-the-move and at-a-distance UBIRIS.v2 database show a significant improvement in term of accuracy and error rates.

Publication metadata

Author(s): Alkassar S, Woo WL, Dlay SS, Chambers JA

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 4th International Conference on Biometrics and Forensics (IWBF)

Year of Conference: 2016

Online publication date: 11/04/2016

Acceptance date: 01/01/1900

Publisher: IEEE


DOI: 10.1109/IWBF.2016.7449677

Library holdings: Search Newcastle University Library for this item

ISBN: 9781467394482