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Feature Extraction of Human Retinal Recognition for Biometric Identification using ANN


Affiliations
1 SKSVMACET, Laxmeshwar – 582116, Karnataka, India
2 VTU RRC, Bangalore – 560091, Karnataka, India
3 VVCE, Mysore – 570002, Karnataka, India
 

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.
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  • Feature Extraction of Human Retinal Recognition for Biometric Identification using ANN

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Authors

G. R. Prashantha
SKSVMACET, Laxmeshwar – 582116, Karnataka, India
N. Jagadisha
VTU RRC, Bangalore – 560091, Karnataka, India
M. P. Chandrashekar
VVCE, Mysore – 570002, Karnataka, India

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.



DOI: https://doi.org/10.17485/ijst%2F2017%2Fv10i35%2F167780