|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 141 - Issue 11 |
| Published: May 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 },
year = { 2016 },
volume = { 141 },
number = { 11 },
pages = { 11-15 },
doi = { 10.5120/ijca2016909848 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Nipun Behl
%A Shivangi Katiyar
%T Diagonally Assisted DCT Technique for Face Recognition: DA-DCT%T
%J International Journal of Computer Applications
%V 141
%N 11
%P 11-15
%R 10.5120/ijca2016909848
%I Foundation of Computer Science (FCS), NY, USA
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.