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Comparative Study of Principal Component Analysis and Independent Component Analysis

by Sushma Niket Borade, Ratnadeep R. Deshmukh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 92 - Number 15
Year of Publication: 2014
Authors: Sushma Niket Borade, Ratnadeep R. Deshmukh
10.5120/16087-5399

Sushma Niket Borade, Ratnadeep R. Deshmukh . Comparative Study of Principal Component Analysis and Independent Component Analysis. International Journal of Computer Applications. 92, 15 ( April 2014), 45-49. DOI=10.5120/16087-5399

@article{ 10.5120/16087-5399,
author = { Sushma Niket Borade, Ratnadeep R. Deshmukh },
title = { Comparative Study of Principal Component Analysis and Independent Component Analysis },
journal = { International Journal of Computer Applications },
issue_date = { April 2014 },
volume = { 92 },
number = { 15 },
month = { April },
year = { 2014 },
issn = { 0975-8887 },
pages = { 45-49 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume92/number15/16087-5399/ },
doi = { 10.5120/16087-5399 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:14:25.127780+05:30
%A Sushma Niket Borade
%A Ratnadeep R. Deshmukh
%T Comparative Study of Principal Component Analysis and Independent Component Analysis
%J International Journal of Computer Applications
%@ 0975-8887
%V 92
%N 15
%P 45-49
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face recognition is emerging as an active research area with numerous commercial and law enforcement applications. This paper presents comparative analysis of two most popular subspace projection techniques for face recognition. It compares Principal Component Analysis (PCA) and Independent Component Analysis (ICA), as implemented by the InfoMax algorithm. ORL face database is used for training and testing of the system. The results show that for the task of face recognition, ICA outperforms PCA in terms of recognition rate and subspace dimensionality.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Face recognition PCA ICA subspace analysis methods.

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