The week's pick
Reseach Article
A Novel Face Recognition Algorithm using PCA
Published on June 2013 by
Shravan Kumar,
Chandrasekaran,
T Senthil Kumar
| International Conference on Innovation in Communication, Information and Computing 2013 |
| Foundation of Computer Science USA |
| ICICIC2013 - Number 3 |
| June 2013 |
| Authors: Shravan Kumar, Chandrasekaran, T Senthil Kumar |
| bbc1130c-abd3-4d87-8c08-56b66e1fa950 |
Shravan Kumar, Chandrasekaran, T Senthil Kumar . A Novel Face Recognition Algorithm using PCA. International Conference on Innovation in Communication, Information and Computing 2013. ICICIC2013, 3 (June 2013), 8-12.
@article{
author = {
Shravan Kumar,
Chandrasekaran,
T Senthil Kumar
},
title = { A Novel Face Recognition Algorithm using PCA },
journal = {
International Conference on Innovation in Communication, Information and Computing 2013
},
issue_date = { June 2013 },
volume = { ICICIC2013 },
number = { 3 },
month = { June },
year = { 2013 },
issn = 0975-8887,
pages = {
8-12
},
numpages = 5,
url = {
/proceedings/icicic2013/number3/12273-0154/
},
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Innovation in Communication, Information and Computing 2013
%A Shravan Kumar
%A Chandrasekaran
%A T Senthil Kumar
%T A Novel Face Recognition Algorithm using PCA
%J International Conference on Innovation in Communication, Information and Computing 2013
%@ 0975-8887
%V ICICIC2013
%N 3
%P 8-12
%D 2013
%I International Journal of Computer Applications
Abstract
The PCA based face recognition algorithm has short-comings like sensitivity to illumination, facial expressions and importantly, not taking into consideration the high level features of the face among others. The discrete wavelet transformation of an image helps enhance the high frequency content and smoothen the lower frequencies. The primary objective of this paper is to present a generic algorithm which utilizes the advantages of the wavelet transformation complimenting it with base-line PCA.
References
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Index Terms
Computer Science
Information Sciences
Keywords