IRIS recognition system with fake identification

This paper focuses on the iris recognition without the cooperation of the subject. The main objective of this analysis is to implement a system that can identify fake identification and deal with noisy images. Current iris recognition system lacks the capability to deal with noisy images and produces increased error rates. In these conditions, we propose a system that can overcome these barriers and effectively handle the noisy images and has capability to provide considerable decrease in false rejection. In this system the segmentation is done into 6 regions followed by individual normalization and individual feature extraction is made that reduces the error rate and increases the reliability of the system. This system works better in noisy database, hence UBIRIS database is employed in this system.