Biometric methods, which identify people based on physical or behavioral characteristics, are of interest because
people cannot forget or lose their physical characteristics in the way that they can lose passwords or identity cards. Among these
biometric methods, iris is currently considered as one of the most reliable biometrics because of its unique texture‘s random
variation. It is found that this method for Iris Recognition design offers good class discriminacy. The iris recognition technique
consists of iris localization, normalization, encoding and comparison. The Neural Classifier will be a feed forward network with
three hidden layers and be used after normalization and feature extraction phase. Simulation results will be very promising in
person identification.
