OPTIMIZATION IN IMAGE BASED IRIS RECOGNITION

This paper presents a comparative study of few of the existing methods in optimization for Iris recognition. Biometric systems rely on specific data about unique biological traits in order to work effectively. They would involve running data through algorithms for a particular result, usually related to a positive identification of a user or other individual. Human iris is considered to be the most reliable biometric trait. Iris recognition system stores the discriminant and complete information of a particular iris in a compact form known as iris code, because of security reasons. This Paper gives a comparative analysis of various optimization methods in Iris recognition considering various criteria’s like Acceptance ration, test beds, feature extraction and accuracy of identification.