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Review of Face Recognition Techniques

by Mandeep Kaur, Jasjit Kaur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 6
Year of Publication: 2017
Authors: Mandeep Kaur, Jasjit Kaur
10.5120/ijca2017913731

Mandeep Kaur, Jasjit Kaur . Review of Face Recognition Techniques. International Journal of Computer Applications. 164, 6 ( Apr 2017), 31-35. DOI=10.5120/ijca2017913731

@article{ 10.5120/ijca2017913731,
author = { Mandeep Kaur, Jasjit Kaur },
title = { Review of Face Recognition Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 6 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 31-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume164/number6/27490-2017913731/ },
doi = { 10.5120/ijca2017913731 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:10:36.512384+05:30
%A Mandeep Kaur
%A Jasjit Kaur
%T Review of Face Recognition Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 6
%P 31-35
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face Recognition is used in order to ensure authentication in terms of feature verification. Techniques are defined to identify faces under different situations. This paper conducts a survey of techniques which are available for face detection. Recognition is possible in case features are extracted from the presented face images. For this purpose feature extraction mechanisms like discrete wavelet transformation (DWT), SIFT, linear discriminate analysis (LDA), principal component analysis (PCA) are commonly used. Analysis process indicates that hybrid approach with discrete wavelet transformation produces better results. Comparative study of literature is also presented through this work.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Recognition Feature Extraction DWT SIFT LDA PCA.

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