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Reseach Article

A Survey on Feature Extraction Techniques

by Ayushi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 11
Year of Publication: 2013
Authors: Ayushi
10.5120/11132-6206

Ayushi . A Survey on Feature Extraction Techniques. International Journal of Computer Applications. 66, 11 ( March 2013), 43-46. DOI=10.5120/11132-6206

@article{ 10.5120/11132-6206,
author = { Ayushi },
title = { A Survey on Feature Extraction Techniques },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 11 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 43-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number11/11132-6206/ },
doi = { 10.5120/11132-6206 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:22:09.435733+05:30
%A Ayushi
%T A Survey on Feature Extraction Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 11
%P 43-46
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face recognition is very important in computer vision. For human being it is easy to identify human face in any posture but it is not an easy task for systems. Feature extraction is useful technique for recognizing faces through systems. It is used for security, criminal records or identification, verification of person, etc. In face images there are variety of face posture. The question is, How to recognize the face? In this paper, discuss certain approaches for face recognition by using feature extraction along with the issues and the recommendations as to which approach is better and suitable.

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Index Terms

Computer Science
Information Sciences

Keywords

Features Extraction Face Recognition Issues Recommendations