On Shape-Mediated Enrolment in Ear Biometrics
On Shape-Mediated Enrolment in Ear Biometrics
Ears are a new biometric with major advantage in that they appear to maintain their shape with increased age. Any automatic biometric system needs enrolment to extract the target area from the background. In ear biometrics the inputs are often human head profile images. Furthermore ear biometrics is concerned with the effects of partial occlusion mostly caused by hair and earrings. We propose an ear enrolment algorithm based on finding the elliptical shape of the ear using a Hough Transform (HT) accruing tolerance to noise and occlusion. Robustness is improved further by enforcing some prior knowledge. We assess our enrolment on two face profile datasets; as well as synthetic occlusion.
Arbab-Zavar, Banafshe
40e175ea-6557-47c6-b759-318d7e24984b
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
November 2007
Arbab-Zavar, Banafshe
40e175ea-6557-47c6-b759-318d7e24984b
Nixon, Mark
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Arbab-Zavar, Banafshe and Nixon, Mark
(2007)
On Shape-Mediated Enrolment in Ear Biometrics.
3rd International Symposium on Visual Computing (ISVC 2007), Lake Tahoe, United States.
26 - 28 Nov 2007.
Record type:
Conference or Workshop Item
(Poster)
Abstract
Ears are a new biometric with major advantage in that they appear to maintain their shape with increased age. Any automatic biometric system needs enrolment to extract the target area from the background. In ear biometrics the inputs are often human head profile images. Furthermore ear biometrics is concerned with the effects of partial occlusion mostly caused by hair and earrings. We propose an ear enrolment algorithm based on finding the elliptical shape of the ear using a Hough Transform (HT) accruing tolerance to noise and occlusion. Robustness is improved further by enforcing some prior knowledge. We assess our enrolment on two face profile datasets; as well as synthetic occlusion.
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Published date: November 2007
Venue - Dates:
3rd International Symposium on Visual Computing (ISVC 2007), Lake Tahoe, United States, 2007-11-26 - 2007-11-28
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 265148
URI: http://eprints.soton.ac.uk/id/eprint/265148
PURE UUID: 8114e05f-cba4-4781-8065-b6f340f10e97
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Date deposited: 05 Feb 2008 17:40
Last modified: 15 Mar 2024 02:35
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Author:
Banafshe Arbab-Zavar
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