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Diverse Frameworks on Retina Verification

Anitha L.1 , Arunvinodh C.2

Section:Survey Paper, Product Type: Journal Paper
Volume-2 , Issue-12 , Page no. 62-67, Dec-2014

Online published on Dec 31, 2014

Copyright © Anitha L. , Arunvinodh C. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Anitha L. , Arunvinodh C., “Diverse Frameworks on Retina Verification,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.12, pp.62-67, 2014.

MLA Style Citation: Anitha L. , Arunvinodh C. "Diverse Frameworks on Retina Verification." International Journal of Computer Sciences and Engineering 2.12 (2014): 62-67.

APA Style Citation: Anitha L. , Arunvinodh C., (2014). Diverse Frameworks on Retina Verification. International Journal of Computer Sciences and Engineering, 2(12), 62-67.

BibTex Style Citation:
@article{L._2014,
author = {Anitha L. , Arunvinodh C.},
title = {Diverse Frameworks on Retina Verification},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2014},
volume = {2},
Issue = {12},
month = {12},
year = {2014},
issn = {2347-2693},
pages = {62-67},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=334},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=334
TI - Diverse Frameworks on Retina Verification
T2 - International Journal of Computer Sciences and Engineering
AU - Anitha L. , Arunvinodh C.
PY - 2014
DA - 2014/12/31
PB - IJCSE, Indore, INDIA
SP - 62-67
IS - 12
VL - 2
SN - 2347-2693
ER -

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Abstract

This paper mainly presents different methods for the person authentication.The survey mainly includes the following methods; a high performance system with features obtained from human retinal images, retina verification using feature point based biometric pattern, then using the digital retinal images, retinal fundus biometric analysis, score level fusion of left and right irises, using 2-D matched filters, then using 2-D morlet wavelet method and finally using the biometric graph matching algorithm.

Key-Words / Index Term

Retinal feature extraction, retina vessel detection, multigraph attributes, biometric graph matching, person verification.

References

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