Smart Authentication using Human Ear

Biometric identification is the study of physiological and behavioral attributes of an individual's to identify the identity of the persons. The human ear, a recent development in biometrics, has several advantages over face, fingerprint, and iris biometrics. In the modern era, biometric technology is becoming increasingly popular for use in security and other applications. Theft and identity fraud are now major issues all over the world. To prevent these thefts and identity fraud, an ear recognition system must be installed. This paper's goal is to develop an ear-based security access control application. To achieve high accuracy and effectiveness, the training and identification processes are carried out using Python and the Raspberry Pi. According to the analysis, it has better efficiency and it can be used for a variety of applications, including ear detection.