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Iris Recognition based on Wavelets

by S V Sheela, P A Vijaya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 26 - Number 11
Year of Publication: 2011
Authors: S V Sheela, P A Vijaya
10.5120/3166-4381

S V Sheela, P A Vijaya . Iris Recognition based on Wavelets. International Journal of Computer Applications. 26, 11 ( July 2011), 47-54. DOI=10.5120/3166-4381

@article{ 10.5120/3166-4381,
author = { S V Sheela, P A Vijaya },
title = { Iris Recognition based on Wavelets },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 26 },
number = { 11 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 47-54 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume26/number11/3166-4381/ },
doi = { 10.5120/3166-4381 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:12:34.573610+05:30
%A S V Sheela
%A P A Vijaya
%T Iris Recognition based on Wavelets
%J International Journal of Computer Applications
%@ 0975-8887
%V 26
%N 11
%P 47-54
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Recognition refers to the problem of establishing a subject’s identity from a set of already known identities. Iris recognition system identifies a person from the database of iris images. Iris patterns form distinguishing characteristics for an individual. The potency of iris recognition lies in its textual information. Iris based security systems capture iris patterns of individuals and match the patterns against the record in available databases. In this paper, wavelet decomposition is applied on iris patterns. The magnitude of coefficients aid in the generation of unique code for recognition. The recognition rate of 100% is achieved.

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Index Terms

Computer Science
Information Sciences

Keywords

Wavelet decomposition unique code magnitude of detailed coefficients core and non-core segments

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