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.
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 and Applied Science > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||05 Feb 2008 17:40|
|Last Modified:||26 Apr 2013 04:10|
|Contributors:||Arbab-Zavar, Banafshe (Author)
Nixon, Mark (Author)
|Further Information:||Google Scholar|
|ISI Citation Count:||6|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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