Segmentation and reconstruction of iris image

Iris recognition is the widely used biometric analysis system which is used to precisely identify any individual by measuring the iris part of the eye. But in some circumstances iris image can't be captured completely which becomes unfit to perform some analysis and direct manipulations. Other aspects such as procurement process of iris data also come into considerations yielding insufficient results. In this paper we propose a probabilistic distribution method that analyse the edges and frontier and reconstructs unavailable regions of iris from Scidb (database used in this experiment) which includes all possible scenarios of capturing iris and other factors which affects the images and reconstructs to makes it fit for producing accurate results. Precisely, synthezing occupies and exhibits major contribution to emanate such demonstration.