IMPLEMENTATION AND COMPARISON OF VARIOUS APPROACHES FOR IRIS IMAGE NORMALIZATION

Abstract

A biometric system provides automatic identification of an individual, based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. Here, the segmented iris region is processed to allow comparisons with existing database i.e. Normalization and Enhancement. The normalization process will produce iris regions, which have the same constant dimensions, so that two photographs of the same iris under different conditions will have characteristic features at the same spatial location. To convert iris into dimensionally compatible form, normalization technique was studied and various approaches of normalization are implemented. When needed, these approaches have been modified to achieve better performance. This electronic document represents implementation of various techniques for validation of this work.