In a progressive digital society, the demand for secure identification has led to amplified development of Biometric Systems. The demand for such Biometric System has increased dramatically due to the fact that such system recognizes unique features possessed by each individual. Iris Recognition Systems have widely adopted and accepted as one of the most effective ways to positively identify people so as to provide a secure environment. Though there exists variety of approaches for iris recognition, this study focus on to examine the matching phase of iris component using cryptographic technique. The performance of the matching phase is well analyzed and it is proved that proposed optimization technique namely, optimized iris matching using cyclic redundancy check would be more effective in nature as compared to other approaches. Researchers have also proved that the proposed approach improves the overall Iris Recognition System performance by the improvement factor of 10 fold as well. The experimental investigations and the results presented reveals that there is a significant improvement in False Accept Rate (FAR) and False Rejection Rate (FRR).
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