To study iris recognition systems, databases, complex patterns and segmentation techniques

Biometric authentication has been receiving extensive attention over the past decade with increasing demands in automated personal identification. Among many biometrics techniques, iris recognition is one of the most promising approaches due to its high reliability for personal identification. This paper presents the literature survey of Iris Recognition Systems, different types of databases and complex patterns of the iris texture. Conventional Iris Recognition System follows six steps, Image Acquisition, Preprocessing, Feature Extraction, Iris Coding, Matching and Result Generation. Matching will be done by using various databases like UBIRIS, CASIA, MMU2 etc. Also this paper will mention some methods of Iris Recognition.