Feature Extraction of Human Retinal Recognition for Biometric Identification using ANN

G  R  Prashantha; N  Jagadisha  and M  P  Chandrashekar  nbsp

doi:10.17485/ijst/2017/v10i35/118952

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Feature Extraction of Human Retinal Recognition for Biometric Identification using ANN

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2017/v10i35/118952

Year: 2017, Volume: 10, Issue: 35, Pages: 1-7

Original Article

Feature Extraction of Human Retinal Recognition for Biometric Identification using ANN

G. R. Prashantha¹ , N. Jagadisha² and M. P. Chandrashekar³

¹SKSVMACET, Laxmeshwar – 582116, Karnataka, India; [email protected] ²VTU RRC, Bangalore – 560091, Karnataka, India; [email protected] ³VVCE, Mysore – 570002, Karnataka, India; [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Objectives: The main objective of this paper is to develop a feature extraction of human retinal recognition for biometric identification using artificial neural networks. Methods/Statistical Analysis: The neural network methodology is used in this paper for the identification purposes. Findings: In this paper, the features of the extracted object, i.e., the retina is being found out. Application/Improvements: The work finds a lot of applications in the biomedical engineering field.

Keywords: Extraction, FAST, Feature, Feature-Point Detection, IRIS, Recognition, Retinal