Feature Analysis on Retinal Blood Vessels for Human Authentication
Aisiri A P1, C. M Patil2

1Aisiri A P, PG Student, Department of ECE, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
2Dr. C. M Patil, Professor and Head, Vidyavardhaka College of Engineering, Mysuru (Karnataka), India.
Manuscript received on 20 September 2019 | Revised Manuscript received on 06 October 2019 | Manuscript Published on 11 October 2019 | PP: 531-534 | Volume-8 Issue-2S10 September 2019 | Retrieval Number: B10930982S1019/2019©BEIESP | DOI: 10.35940/ijrte.B1093.0982S1019
Open Access | Editorial and Publishing 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: Security plays a crucial role in protecting the important documents and systems from imposters. A biometric system extracts from the desired person the physiological or mannerism-based characteristics on which the system chooses whether to authorize or deny access. Even though the biometric modalities like fingerprint, face and voice are widely used, there is a demand for high security in certain fields like military and operation centers. This paper takes the datasets from kaggle and presents an idea about to authentication of a person using retinal blood vessels and template matching method based on user IDs and performance analysis is made. Also a scope to authenticate the retinal blood vessels of the person using the geometrical features like fractal dimensions, tortuosity, width, length, bifurcations etc is given and the performance analysis is done.
Keywords: Retina, User ID, Template Matching, Retinal Recognition and Geometric Characteristics.
Scope of the Article: Authentication, Authorization, Accounting