Personal Identification Using Ear Recognition
Abstract: Biometric
authentication for personal identification is very popular now a days. Human
ear recognition system is a new technology in this field. The change of
appearance with the expression was a major problem in face biometrics but in
case of ear biometrics the shape and appearance is fixed. 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.
Experimental results show that our proposed system achieves an average accuracy
of 97.2% and 95.2% on these databases respectively.
Author: Anam Tariq, M. Usman
Akram
Journal Code: jptkomputergg120055
