Personal Identification using Ear Recognition

The use of biometrics for personal identification or authentication is very common now days. The technology of human ear recognition system is a latest technology in this field. In case of ear biometrics, the shape and appearance remains same throughout the life time of an individual contrary to facial recognition in which change of appearance with expression and age is a major problem. That is why it is advantageous to use it for personal identification. In this paper, we have proposed a new approach for an automated system for human ear identification. Our proposed method consists of three stages. In the first stage, preprocessing of ear image is done for its contrast enhancement and size normalization. In the second stage, features are extracted through Haar wavelets followed by ear identification using fast normalized cross correlation in the third stage. The proposed method is applied on USTB ear image database and IIT Delhi ear image database. Experimental results show that our proposed system achieves an average accuracy of 97.2% and 95.2% on these databases respectively.