IRIS based human identification: Analogizing and exploiting PSNR and MSE techniques using MATLAB

Abstract

In today's reality, security has gotten to be paramount. Many biometrics methods like facial expression recognition system, Iris recognition system is a standout amongst the most dependable leading technologies for user authentication. It is steady for the duration of the life, it can serve as a living visa or a living secret word that one need not recall however is always present. Iris biometry helps in identifying an individual in a more intuitive and natural manner. Iris recognition focuses on recognizing the identity of individuals using the textural based characteristics of the muscular patterns of the iris. Irises assure long period stability and also infrequent requirements for the enrollment process. Accuracy, higher information content, real timeliness, performance, stability, low circumvention and uniqueness makes iris technology as the one of the most suitable candidate to be deployed in the field of the security. The study attempted to highlight the performance of various preprocessing techniques used in iris recognition in terms of their PSNR values and MSE values.