A Novel Based Algorithm for the Extraction of Blood Vessels Present In Retina
Dova.Veena Grace1, B.M.S.Rani2, Veeranki Naga Swapna Sri3

1Dova.Veena Grace, M.Tech, Student, Dept. of Electronics & Communication Engineering, Vignan’s Nirula Institute of Technology & Science for Women, Guntur, A.P, India.
2B.M.S.Rani, Assistant Professor, Dept. of Electronics & Communication Engineering, Vignan’s Nirula Institute of Technology & Science for women, Guntur, A.P, India.
3Veeranki Naga Swapna Sri, Assistant Professor, Dept. of Electronics & Communication Engineering, Vignan’s Nirula Institute of Technology and Science for Women, Guntur, A.P, India.

Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 2878-2883 | Volume-9 Issue-1, November 2019. | Retrieval Number: A9102119119/2019©BEIESP | DOI: 10.35940/ijitee.A9102.119119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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.
Keywords: Blood Vessel Identification, Retinal Images, Biometric Authentication, Identification Methods.
Scope of the Article: Algorithm Engineering