Model-Based Human Ear Identification

Nowadays the viability of ear biometrics and the uniqueness of ears is beyond question, but reliable technical solutions have not yet been presented. As opposed to face recognition, in which a model-based approach is widely used, surprisingly little effort has been put into using ear models in automatic recognition, even though ear shape is more robust than facial characteristics, being unaffected by emotional expressions. In this paper we would like to introduce our model-based scheme for ear feature extraction, implementation of which has proved that the method is strong enough to be applicable in an identity tracking system.