A review on 2D ear recognition

Abstract

Biometric systems have been implemented on numerous public facilities that able to enhance the security system. Nowadays, fingerprint and face are the most popular biometric. In addition, emerging technology has introduced potential biometric such as hand geometry, palm print, lips, teeth and vein. However, most of this biometric requires a special device to capture it. This will added more cost to implement the system. Ear is one of emerging biometric and proven having a great potential for identifying a person. Recently, a study shows human ear can easily captured just using an ordinary camera and it can be extracted from existing face profile image. In general, human ear is captured using a camera, after that the ear recognition system will attempt to identify it. Numerous methods have been proposed by the community to establish ear recognition system. Hence, this paper summarized, reviewed and critically discussed various recent advances in 2D ear recognition, in order to find out the research gap.