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

Alkassar, S., Woo, Wai Lok, Dlay, Satnam and Chambers, Jonathon (2016) A novel method for sclera recognition with images captured on-the-move and at-a-distance. In: IWBF 2016 - 4th International Workshop on Biometrics and Forensics, 3rd - 4th March 2016, Limassol, Cyprus.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Biometrics, feature extraction, Gabor filters, kernel, linear discriminant analysis, pattern recognition, sclera recognition
Subjects:	G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Paul Burns
Date Deposited:	04 Apr 2019 14:28
Last Modified:	10 Oct 2019 20:34
URI:	http://nrl.northumbria.ac.uk/id/eprint/38761

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