Human Identification Based on Ear Image Contour and Its Properties

Abstract

Identity management is the process of authenticating individuals by means of security objects (traits) to confirm whether the subject is permitted to access any secured property. Ear biometrics is one of the best solutions to access any secured property, which may be private/public. In the current security surveillance, the subject is identified passively without the knowledge. Ear recognition is a better passive system where the human ear is captured to verify whether he is authorized or not. This system can possibly suit for crowd management like bus stations, railway stations, temples, cinema theatres, etc. An ear biometric system based on 2D ear image contours and its properties was proposed. In this article, three types of databases are taken as input, i.e. IIT Delhi Database, AMI Database and VR Students Sample Database, and enrolment and verification process is done with these databases based on the contour features and its properties—bounding rectangle, aspect ratio, extent, equivalent diameter, contour area, contour perimeter, checking convexity, convex hull and solidity. This approach takes less time to execute, and the obtained FAR and FRR performance parameter values are nominal when compared to other traditional mechanisms.