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Identification of Tigers for Census by the Method of Tiger Iris Pattern Matching and Recognition

by Dibyendu Ghoshal, Parthasarathi De, Bapi Saha
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 2
Year of Publication: 2012
Authors: Dibyendu Ghoshal, Parthasarathi De, Bapi Saha
10.5120/7600-0316

Dibyendu Ghoshal, Parthasarathi De, Bapi Saha . Identification of Tigers for Census by the Method of Tiger Iris Pattern Matching and Recognition. International Journal of Computer Applications. 49, 2 ( July 2012), 19-23. DOI=10.5120/7600-0316

@article{ 10.5120/7600-0316,
author = { Dibyendu Ghoshal, Parthasarathi De, Bapi Saha },
title = { Identification of Tigers for Census by the Method of Tiger Iris Pattern Matching and Recognition },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 2 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number2/7600-0316/ },
doi = { 10.5120/7600-0316 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:45:17.005671+05:30
%A Dibyendu Ghoshal
%A Parthasarathi De
%A Bapi Saha
%T Identification of Tigers for Census by the Method of Tiger Iris Pattern Matching and Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 2
%P 19-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Iris pattern of any animal (including human being) is statistically unique and suitable for biometric measurements. The identity of the animal concerned can be determined and verified comparing the templates obtained with the present algorithm with that template stored in database which was formed on the basis of previous studies. In the present study, the method of circular Hough transform is used for segmentation of the tiger Iris and subsequently Daugman's rubber Sheet model is used for normalization of the segmented values. Pattern matching is achieved by calculating Hamming Distance where its degree is proportional to the closeness of matching. The closer matching between the stored and calculated pattern is found to lead towards better recognition of Irises and thereby the animal itself.

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Index Terms

Computer Science
Information Sciences

Keywords

Iris recognition Pattern matching biometric identification

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