Iris Recognition using Optimization Technique

Iris biometrics research is an exciting, broad, and rapidly expanding field. At the same time there are successful practical applications that illustrate the power of iris biometrics, there are also many fundamental research issues to be solved on the way to larger scale and more complex applications.

In this research work, iris recognition has been done using Hough Man Circular Transform (HCT), Scale Invariant Feature Transform (SIFT) and Genetic Algorithm (GA) method. Hough Man Circular Transform (HCT) localize the retina, Scale Invariant Feature Transform (SIFT) extract the features of the iris templates and then in the end Genetic Algorithm (GA) reduce the obtained features. The whole simulation is being implement in MATLAB 2010 environment. The performance of the system is evaluated by using with False Acceptance Rate (FAR), False Rejection Rate (FRR) and Recall Rate (RR) parameters.