Biometric Authentication System based on Iris Patterns

In the present age of digital impersonation, biometric techniques are being used increasingly to prevaricate against identity thefts. Iris recognition is a proven, accurate means to identify people. Iris is regarded as the most reliable biometric feature in terms of its uniqueness and robustness. The objective of this work is to present a biometric authentication system for high security physical access control based on iris pattern. The proposed iris recognition with improvement in segmentation and matching stages using Hamming distance provides match for iris pattern if hamming distance is below 0.15. The CASIA IRIS image database of Chinese Academy of Sciences Institute of Automation is used and the system is implemented in MATLAB. The proposed approach found to report higher verification accuracy of 99.2%.