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On Shape-Mediated Enrolment in Ear Biometrics

Record type: Conference or Workshop Item (Poster)

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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Citation

Arbab-Zavar, Banafshe and Nixon, Mark (2007) On Shape-Mediated Enrolment in Ear Biometrics At 3rd International Symposium on Visual Computing (ISVC 2007), United States. 26 - 28 Nov 2007.

More information

Published date: November 2007
Venue - Dates: 3rd International Symposium on Visual Computing (ISVC 2007), 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

Catalogue record

Date deposited: 05 Feb 2008 17:40
Last modified: 18 Jul 2017 07:29

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Contributors

Author: Banafshe Arbab-Zavar
Author: Mark Nixon

University divisions


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