The University of Southampton
University of Southampton Institutional Repository

A Novel Ray Analogy for Enrolment of Ear Biometrics

Cummings, Alastair, Nixon, Mark and Carter, John (2010) A Novel Ray Analogy for Enrolment of Ear Biometrics At IEEE Fourth Conference on Biometrics: Theory, Applications and Systems, United States.

Record type: Conference or Workshop Item (Other)


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.

PDF btas2010.pdf - Accepted Manuscript
Download (2MB)

More information

Published date: September 2010
Additional Information: Event Dates: September 2010
Venue - Dates: IEEE Fourth Conference on Biometrics: Theory, Applications and Systems, United States, 2010-09-01
Organisations: Southampton Wireless Group


Local EPrints ID: 271546
PURE UUID: 00e3184e-3edf-4e51-93ef-706d9fe7f527

Catalogue record

Date deposited: 13 Sep 2010 12:36
Last modified: 18 Jul 2017 06:41

Export record


Author: Alastair Cummings
Author: Mark Nixon
Author: John Carter

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.