The process of identifying an agent using Muscular diaphragm is by observing the manifest pattern of their own iris. In present days, there was a bid for modern science and new technologies for human identification and one among the moderate methods is iris recognition and identification of humans based on their iris. This is mostly because of comparatively very less time to compare and identify. In general, if we use face, fingerprint or other biometric traits for identifying the human, these methods require an extraordinary requirement for significant numerical and Computer-vision research and knowledge. One proof is the absolute absence of freely accessible satisfactory dataset pictures. In this proposed thesis, we try to take IRIS as input and then the picture of the eye is converted into an 'unrolled' portrayal of the subject iris and its applications, we try to match the unrolled values against the agent’s memory. If there is any match between the two images then we try to display output as better match.