Biometric Identification Using Artificial Neural Network

Abstract

Artificial Neural Networks (ANN) are the efficient means of prediction and recognition. The ability of the ANN to learn given patterns makes them suitable for such applications. Fingerprint, Face and Retina Recognition are the areas that can be used as a means of biometric verification where the ANN can play a critical rule. But faces of two twins can be of same look, so Fingerprint & Retina (F&R) are unique biometric pattern that can be used as a part of a verification system. An ANN can be configured and trained to handle such variations observed in the texture of the fingerprint & Retina. The specialty of the work is associated with the fact that if the ANN is configured properly it can tackle the variations in the fingerprint& retinal images and that way provides the insights for developing a system which requires the samples for verification and authorization. A system designed to provide authentication decision using the input can be a reliable means of verification. Such a system designed using ANN and using retina input is described here. Experimental results show that the system is reliable enough for considering it as a part of a verification mechanism.