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Study of different Trends and Techniques in Face Recognition

by Divyakant T. Meva, C. K. Kumbharana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 96 - Number 8
Year of Publication: 2014
Authors: Divyakant T. Meva, C. K. Kumbharana
10.5120/16811-6548

Divyakant T. Meva, C. K. Kumbharana . Study of different Trends and Techniques in Face Recognition. International Journal of Computer Applications. 96, 8 ( June 2014), 1-4. DOI=10.5120/16811-6548

@article{ 10.5120/16811-6548,
author = { Divyakant T. Meva, C. K. Kumbharana },
title = { Study of different Trends and Techniques in Face Recognition },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 96 },
number = { 8 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume96/number8/16811-6548/ },
doi = { 10.5120/16811-6548 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:21:10.558936+05:30
%A Divyakant T. Meva
%A C. K. Kumbharana
%T Study of different Trends and Techniques in Face Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 96
%N 8
%P 1-4
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

History of Face recognition is old enough to be mature. In 1960s, face recognition became semi-automated. In 1970s, face recognition took another step in automation. In 1988, first semi-automated facial recognition system was deployed. In 2001, automated face recognition captured attention of public at SuperBowl event to capture surveillance images. Now a day, every country in the world is using this technology for different purposes. In this paper, we have discussed some novel techniques and algorithms for face recognition of the current trends.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition holistic approach feature based approach hybrid methods PCA LDA LFA FDA HMM

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