International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 141 - Issue 11 |
Published: May 2016 |
Authors: Nipun Behl, Shivangi Katiyar |
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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.