On Shape-Mediated Enrolment in Ear Biometrics

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


[img] PDF
Download (5Mb)


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.

Item Type: Conference or Workshop Item (Poster)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QP Physiology
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
ePrint ID: 265148
Accepted Date and Publication Date:
November 2007Delivered
Date Deposited: 05 Feb 2008 17:40
Last Modified: 31 Mar 2016 14:10
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/265148

Actions (login required)

View Item View Item

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