An Amalgamated Strategy for Iris Recognition Employing Neural Network and Hamming Distance

Biometric comprises of strategies for particularly perceiving people based upon one or more inherent physical or behavioral characteristics. Iris recognition system is one of the fundamental techniques that are used in biometrics for access control, identification system. It is essentially a pattern distinguishment technique that utilizes iris structures and patterns that are measurably novel, with the goal of user identification. It is relentless for the term of the life and serves as a living visa or a code word that one need not remember and recall however is present always. This study concentrates on the novel approach that emphasizes on the characterization methodology of the iris designs by utilizing a collaborative methodology of neural networks and hamming distance. The proposed system additionally uses the support vector machine with the end goal of grouping of the iris as the left iris design or as the right iris of a person.