IRIS RECOGNITION SYSTEM USING MATLAB

A biometric system provides automatic identification of a human being based on some unique physical or behavioral feature of the individual. The world today is making rapid progress in its quest to realize the dream of a creating a user friendly, customer caring ambience. With every new dream comes the nightmare of a security of the system lapse which may allow the misuse of the system. A major success in trying to bridge the advent of a security lapse is the use of biometrics. Biometric technologies such as fingerprint, facial recognition, and iris recognition are deployed for verification and/or identification in applications such as access control, border management, and Identification systems. Iris is regarded as the most reliable and accurate biometric identification system being used in modern world. Most commercial iris recognition systems use patented algorithms developed by Daugman ’ s and these algorithms are able to produce perfect recognition rates. However, published results have usually been produced under favorable conditions, and there have been no independent trials of the technology. The work presented in this paper developing an open- source ‟ for segmentation and normalization of human iris image for iris recognition system using Hough Transforms for iris image segmentation and Daugman ’ s Rubber Sheet Model for image normalization with empirical mode decomposition(EMD) in MATLAB.