A Novel Ray Analogy for Enrolment of Ear Biometrics
A Novel Ray Analogy for Enrolment of Ear Biometrics
The ear is a maturing biometric with qualities that give it superiority over other biometrics in a number of situations; in particular the ear is relatively immune to variation due to ageing. Successful ear biometrics rely upon a well enrolled dataset, with ears normalised for position, scale and rotation. We present a novel ear enrolment technique using the image ray transform, based upon an analogy to light rays. The transform is capable of highlighting tubular structures such as the helix of the ear and spectacle frames and, by exploiting the elliptical shape of the helix, can be used as the basis of a method for enrolment for ear biometrics. The presented technique achieves 99.6% success at enrolment across 252 images of the XM2VTS database, displaying a resistance to confusion with hair and spectacles. These results show great potential for enhancing many other already existing enrolment methods through use of the image ray transform at a preprocessing stage.
Cummings, Alastair
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Nixon, Mark
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Carter, John
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September 2010
Cummings, Alastair
5a259c36-3348-4951-97f5-d591f32d2fc5
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John
e05be2f9-991d-4476-bb50-ae91606389da
Cummings, Alastair, Nixon, Mark and Carter, John
(2010)
A Novel Ray Analogy for Enrolment of Ear Biometrics.
IEEE Fourth Conference on Biometrics: Theory, Applications and Systems, Washington DC, United States.
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Abstract
The ear is a maturing biometric with qualities that give it superiority over other biometrics in a number of situations; in particular the ear is relatively immune to variation due to ageing. Successful ear biometrics rely upon a well enrolled dataset, with ears normalised for position, scale and rotation. We present a novel ear enrolment technique using the image ray transform, based upon an analogy to light rays. The transform is capable of highlighting tubular structures such as the helix of the ear and spectacle frames and, by exploiting the elliptical shape of the helix, can be used as the basis of a method for enrolment for ear biometrics. The presented technique achieves 99.6% success at enrolment across 252 images of the XM2VTS database, displaying a resistance to confusion with hair and spectacles. These results show great potential for enhancing many other already existing enrolment methods through use of the image ray transform at a preprocessing stage.
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Published date: September 2010
Additional Information:
Event Dates: September 2010
Venue - Dates:
IEEE Fourth Conference on Biometrics: Theory, Applications and Systems, Washington DC, United States, 2010-09-01
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 271546
URI: http://eprints.soton.ac.uk/id/eprint/271546
PURE UUID: 00e3184e-3edf-4e51-93ef-706d9fe7f527
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Date deposited: 13 Sep 2010 12:36
Last modified: 15 Mar 2024 02:35
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Contributors
Author:
Alastair Cummings
Author:
John Carter
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