Driver Identification Using Ear Biometrics

Abstract

The article deals with the biometric identification of drivers, using an ear thermogram. Samples are acquired using an IR camera and then further evaluated by an artificial neural network. Input image data is acquired from a standardized distance at 5 different angles and the effect of the settings of the artificial neural network on the result of successful driver identification is studied.