IRIS RECOGNITION PERFORMANCE ANALYSIS

Abstract

Iris recognition is among the most precise and reliable biometric authentication technologies. Technology nowadays has come to a point where it allows us to achieve iris recognition through several approaches. It is challenging, if not impossible, to compromise the authentication process as it is a reliable identifying system. Iris recognition is often applied to high-security places. In airports, port areas, access management in institutions and companies, computer login, criminal identification, mobile devices, etc are some of its areas of use. The vast majority of systems for iris recognition implement Daugman's patented algorithms, which are capable of producing successful recognition results. Yet reported results are typically obtained under suitable environments. The unique characteristics of the human iris are acquired through images in specific environments and later the images are processed in stages which include segmentation, normalization, encoding and matching. All the stages and different methods will be included in this research. All of the data in this study was obtained by using the IIT Delhi Iris Database.