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Reseach Article

Improvement of Performance Evaluation for Iris Pattern Recognition

by Emmanvel Raj.M.Chirchi, Dr.R.D.Kharadkar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 34 - Number 6
Year of Publication: 2011
Authors: Emmanvel Raj.M.Chirchi, Dr.R.D.Kharadkar
10.5120/4093-5943

Emmanvel Raj.M.Chirchi, Dr.R.D.Kharadkar . Improvement of Performance Evaluation for Iris Pattern Recognition. International Journal of Computer Applications. 34, 6 ( November 2011), 7-11. DOI=10.5120/4093-5943

@article{ 10.5120/4093-5943,
author = { Emmanvel Raj.M.Chirchi, Dr.R.D.Kharadkar },
title = { Improvement of Performance Evaluation for Iris Pattern Recognition },
journal = { International Journal of Computer Applications },
issue_date = { November 2011 },
volume = { 34 },
number = { 6 },
month = { November },
year = { 2011 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume34/number6/4093-5943/ },
doi = { 10.5120/4093-5943 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:20:21.971695+05:30
%A Emmanvel Raj.M.Chirchi
%A Dr.R.D.Kharadkar
%T Improvement of Performance Evaluation for Iris Pattern Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 34
%N 6
%P 7-11
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we describe the performance improvement by reducing FAR and FRR for quality of the algorithm, as the performance evaluation is very important for fast iris identification if the image is occluded or covered by eyelid and very little iris image is retrieve or noisy image, though our algorithm works very efficiently for correct identification of person as it is important for the security system. We use CASIAv3 and UBIRISv1 database.

References
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Index Terms

Computer Science
Information Sciences

Keywords

FAR FRR FTE FTA Iris recognition