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Reseach Article

A Novel Eigenface based Species Recognition System

by T.a.s. Achala Perera, John Collins
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 20
Year of Publication: 2015
Authors: T.a.s. Achala Perera, John Collins
10.5120/20268-2675

T.a.s. Achala Perera, John Collins . A Novel Eigenface based Species Recognition System. International Journal of Computer Applications. 115, 20 ( April 2015), 19-23. DOI=10.5120/20268-2675

@article{ 10.5120/20268-2675,
author = { T.a.s. Achala Perera, John Collins },
title = { A Novel Eigenface based Species Recognition System },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 20 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number20/20268-2675/ },
doi = { 10.5120/20268-2675 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:55:24.310071+05:30
%A T.a.s. Achala Perera
%A John Collins
%T A Novel Eigenface based Species Recognition System
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 20
%P 19-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

To develop a species recognition system for a resettable trap using novel species identification techniques. Classical Eigenface based identification techniques are widely used in human faced detection domain. In this research Eigen faced based technique is used to identify the feral animals like Possums, cat and Weasels. When traditional Eigen faced technique is applied to detect these animal, detection rate is extremely poor (Possums 55%, Cats 33% and weasels 45%), due to their orientation of the heads and fur patterns. In this research, Eigenface based image recognition technique's detection rate was improved by adding different training sets to the system. Traditional Eigenface detection domain one training set is used, but it was discovered single training set was not adequate to detect small animal. This is because smaller animals like possums, cats and weasels tend to have different color group, different texture and hard to obtain face up images. Therefore it was decided to divide the training set into different sub groups. This sub training sets are used to train system and search for match. This method improved the detection rate up to 83% for possum, 50% for cats and 63% weasels.

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Index Terms

Computer Science
Information Sciences

Keywords

Euclidean distance face recognition animal detection