The week's pick
Reseach Article
Diagonally Assisted DCT Technique for Face Recognition: DA-DCT
by
Nipun Behl,
Shivangi Katiyar
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 141 - Number 11 |
| Year of Publication: 2016 |
| Authors: Nipun Behl, Shivangi Katiyar |
10.5120/ijca2016909848
|
Nipun Behl, Shivangi Katiyar . Diagonally Assisted DCT Technique for Face Recognition: DA-DCT. International Journal of Computer Applications. 141, 11 ( May 2016), 11-15. DOI=10.5120/ijca2016909848
@article{
10.5120/ijca2016909848,
author = {
Nipun Behl,
Shivangi Katiyar
},
title = { Diagonally Assisted DCT Technique for Face Recognition: DA-DCT },
journal = {
International Journal of Computer Applications
},
issue_date = { May 2016 },
volume = { 141 },
number = { 11 },
month = { May },
year = { 2016 },
issn = { 0975-8887 },
pages = {
11-15
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume141/number11/24827-2016909848/
},
doi = { 10.5120/ijca2016909848 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:43:14.958816+05:30
%A Nipun Behl
%A Shivangi Katiyar
%T Diagonally Assisted DCT Technique for Face Recognition: DA-DCT
%J International Journal of Computer Applications
%@ 0975-8887
%V 141
%N 11
%P 11-15
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Face is a multidimensional intricate structure that demands good computing technique for recalling it. This paper proposes a new diagonally assisted face recognition technique using Discrete Cosine Transform (DCT). Proposed work divides an image into matrix to apply DCT. Working scheme i.e. DA-DCT selects diagonal coefficient to retain low, moderate and high frequency coefficients for each block. Proficiency of the proposed work has been checked for self-created database using MATLAB. Experimental results prove that DA-DCT performs much better than PCA.
References
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Index Terms
Computer Science
Information Sciences
Keywords