AN EFFICIENT APPROACH FOR TEXTURED CONTACT LENSES DETECTION IN IRIS RECOGNITION

Abstract

The effective implementation associated with a product is largely based on its reliability,authenticity and the quantity of secrecy it offers.In the current high techno world where privacy and security are the worries of prime importance,the important systems must employ techniques to do this. Our project is simply a small step towards this.The iris based system can deal with  lots of individual biological versions but still supply the identification system with a lot more precision and reliability. Within this project we've developed a system that involves recognition of the person using IRIS like a biometric parameter.We've first segmented the pupil and iris structure in the original eye image.Whenever we have normalised it to construct an element vector which characterizes each iris clearly.This selection vector will be employed for matching among various templates and identifies the person. The job provided within this project is principally targeted at supplying a recognition system to be able to verify the distinctiveness of human iris as well as its performance like a biometric.The paper has implementation of calculations on CASIA database.The different outcomes of different implementations as well as their accuracies happen to be examined within this paper. Overall within this paper,a truthful effort in recommending a competent system for implementation from the human identification system according to iris recognition and powerful recognition of textured contact contacts in iris recognition of images. This project presents an Iris recognition system, that was examined on CASIA iris image database, to be able to verify the stated performance of iris recognition technology