Arbab-Zavar, Banafshe and Nixon, Mark
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.
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