Human Iris Recognition for Biometric Identification Using Apache Spark with RDD

This paper presents a review of literature related to biometric recognition system known as iris recognition system. Biometric authentication is an important security technology due to its properties of biometrics compared to other authentication methods. Since most of the observable characteristics of humans are unique, physiological features like fingerprints, iris color, face patterns and geometries considered as security passwords. Among those, iris gets the most attention in authentication because of its reliability. Even the iris textures being used in iris recognition are not similar in the left and right eyes of the same person. So, it is more secure than face/partial-face recognition. Goal of this paper is to explore recent work done in iris recognition systems and use of Deep learning techniques in Iris recognition. Deep learning can be used to efficiently and accurately analyze large quantities of data. Iris recognition leverages iris data analysis wherein efficient algorithms are used for identification and differentiation amongst individuals. In this review paper, we have reviewed various technologies in iris recognition. The final outcome of this paper clearly indicates that due to its success deep learning methods, especially, the convolutional neural networks, has a great future ahead.