ABSTRACT
Biometric authentication is a self-sufficient technique to prove one's identity that could be used in various security authentication platforms such as airport immigration control, customer authentication, cyber forensics, and many others. Security and privacy are significant concerns in today's world. Using biometrics traits, we could achieve a superior level of security. The covid-19 virus almost fails the other biometric system. As we have become a mask-wearing society due to which face recognition system was failing, and we know the virus is spread through contact, the fingerprint biometric system also fails. Ear biometrics could have become a promising and helpful field to prove one identity over other biometrics. Various researches have been done with reasonable accuracy but in a constrained environment. Ear biometrics can also come over the significant hurdle of security concerns. A review of many existing techniques is conducted in this paper to determine which algorithm performs better and delivers higher accuracy. This paper contains findings from numerous ear detection studies and suggests a future-related method that will provide good efficient accuracy in ear detection under an unconstraint database. © 2022 IEEE.