A novel based algorithm for the extraction of blood vessels present in retina

Abstract

The purpose of tagging and describe about individuals, using the uniqueness and measurable characteristics of Biometric identifiers. These characteristics are classified as Behavioral versus Physiological. Information related to shape of body is presented in the characteristics of Physiological biometric identifiers with example of DNA, iris recognition, hand geometry, palm print, retina, face and fingerprint. Reliable and stable authentication is providing by the Human retina, so it is also consider as biometric system. In this paper we proposing a modified algorithm for the measurement and detecting of blood vessels in the retina with the uses of KNNRF classifier. Extracting the features of input retinal images are matching with the trained features are classified byusing the KNNRF classifier. For the purpose of classifying clustered blood vessels with high accuracy, KNNRF method is used.