Human ear recognition using geometric features

Biometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioral traits. Finding good biometric methods has been researched extensively in recent years. Among several biometric features, ear is quite stable because it does not vary with age and emotion. The ear recognition works based on the height of the ear, reference line cut point and corresponding angles. The study is performed on the ear in random orientation and shows a greater accuracy than existing dominant approach. The recognition accuracy is increased by removing the noise in captured ear images and developing new methodologies to work with online images.