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.
