Biometrics Retinal Identification System And Iris Recognition

A biometric system provides automatic identification of an individual based on a unique feature or feature that the person possesses. Unlike other biometric such as fingerprints and facial recognition, the distinct aspect of the iris comes from randomly distributed features. Iris recognition is considered to be the most reliable and accurate biometric detection system available. In this paper, I describe novel techniques developed to provide an iris recognition system. This paper proposes an individual identification using iris recognition system with the help of six major steps i.e. image acquisition, localization, isolation, normalization, feature extraction and matching and several small steps to complete each step in these six steps are included. Iris boundaries are detected using the canny edge detector and circular hoop transformations, as the papillary and limbic boundary. We can use masking technique to isolate the iris image, separate the given eye image, this separate iris image changes from Cartesian to Polar Coordinate. Now finally extract the unique features of the iris (feature vector) after enlarging the iris image and then perform matching process on the iris code using the Hamming distance for the acceptance and rejection process. I am giving my review after studying many research papers and my proposed technique works very well and can be implemented easily. Citation: Avinash Yadav, Samriddhi Singh. "Biometrics Retinal Identification System And Iris Recognition." Global Research and Development Journal For Engineering 5.7 (2020): 26 - 39.