Abstract / truncated to 115 words (read the full abstract)

Automatic ear recognition systems have seen increased interest over recent years due to multiple desirable characteristics. Ear images used in such systems can typically be extracted from profile head shots or video footage. The acquisition procedure is contactless and non-intrusive, and it also does not depend on the cooperation of the subjects. In this regard, ear recognition technology shares similarities with other image-based biometric modalities. Another appealing property of ear biometrics is its distinctiveness. Recent studies even empirically validated existing conjectures that certain features of the ear are distinct for identical twins. This fact has significant implications for security-related applications and puts ear images on a par with epigenetic biometric modalities, such as the iris. ... toggle 4 keywords

ear recognition ear detection deep neural networks unconstrained environment


Emeršič, Žiga
University of Ljubljana, Faculty of Computer and Information Science
Publication Year
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July 3, 2022

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