A Review: Person Identification using Retinal Fundus Images

In this paper a review on biometric person identification has been discussed using features from retinal fundus image. Retina recognition is claimed to be the best method among systems as retina practically impossible forge. It found most stable, reliable and secure all other systems. inherits property of uniqueness stability. The used in process are either blood vessel or non-blood features. But vascular pattern prominent feature utilized by researchers for based identification. Processes involved authentication system include pre-processing, extraction matching. Bifurcation crossover points widely Non-blood luminance, contrast, corner etc. This summarizes compares different system. Researchers have publicly available databases such DRIVE, STARE, VARIA, RIDB, ARIA, AFIO, DRIDB, SiMES testing their methods. Various quantitative measures accuracy, rate, false rejection acceptance equal error rate evaluate performance algorithms. DRIVE database provides 100\% Rest accuracy more than 90\%.