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A Review on Comparison of Face Recognition Algorithm Based on Their Accuracy Rate

Rashmi Ravat1 , Namrata Dhanda2

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-2 , Page no. 40-44, Feb-2015

Online published on Feb 28, 2015

Copyright © Rashmi Ravat , Namrata Dhanda . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Rashmi Ravat , Namrata Dhanda, “A Review on Comparison of Face Recognition Algorithm Based on Their Accuracy Rate,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.2, pp.40-44, 2015.

MLA Style Citation: Rashmi Ravat , Namrata Dhanda "A Review on Comparison of Face Recognition Algorithm Based on Their Accuracy Rate." International Journal of Computer Sciences and Engineering 3.2 (2015): 40-44.

APA Style Citation: Rashmi Ravat , Namrata Dhanda, (2015). A Review on Comparison of Face Recognition Algorithm Based on Their Accuracy Rate. International Journal of Computer Sciences and Engineering, 3(2), 40-44.

BibTex Style Citation:
@article{Ravat_2015,
author = {Rashmi Ravat , Namrata Dhanda},
title = {A Review on Comparison of Face Recognition Algorithm Based on Their Accuracy Rate},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2015},
volume = {3},
Issue = {2},
month = {2},
year = {2015},
issn = {2347-2693},
pages = {40-44},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=400},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=400
TI - A Review on Comparison of Face Recognition Algorithm Based on Their Accuracy Rate
T2 - International Journal of Computer Sciences and Engineering
AU - Rashmi Ravat , Namrata Dhanda
PY - 2015
DA - 2015/02/28
PB - IJCSE, Indore, INDIA
SP - 40-44
IS - 2
VL - 3
SN - 2347-2693
ER -

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Abstract

This paper tries to present an overview of different face recognition techniques and study the characteristics of various algorithms developed for “feature selection” and “feature extraction”. Study and analysis of the face recognition rate of various face recognition algorithms, used currently, is imperative for designing and developing a new Algorithm. In his paper we report performance comparison analysis of Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), ICA, SVM & SVD for face recognition. Various PCA and LD, ICA; SVM & SVD based face recognition algorithms were studied and compared in this paper. Standard public database was utilized for this purpose.

Key-Words / Index Term

Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Independent Component Analysis (ICA), Support Vector Machine (SVM) & Support vector Discriminant (SVD).

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