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A Systematic Analysis of Two-Dimensional Face Recognition Methods

Arpit Agrawal1

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-11 , Page no. 242-249, Nov-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i11.242249

Online published on Nov 30, 2017

Copyright © Arpit Agrawal . 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: Arpit Agrawal, “A Systematic Analysis of Two-Dimensional Face Recognition Methods,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.11, pp.242-249, 2017.

MLA Style Citation: Arpit Agrawal "A Systematic Analysis of Two-Dimensional Face Recognition Methods." International Journal of Computer Sciences and Engineering 5.11 (2017): 242-249.

APA Style Citation: Arpit Agrawal, (2017). A Systematic Analysis of Two-Dimensional Face Recognition Methods. International Journal of Computer Sciences and Engineering, 5(11), 242-249.

BibTex Style Citation:
@article{Agrawal_2017,
author = {Arpit Agrawal},
title = {A Systematic Analysis of Two-Dimensional Face Recognition Methods},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2017},
volume = {5},
Issue = {11},
month = {11},
year = {2017},
issn = {2347-2693},
pages = {242-249},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5584},
doi = {https://doi.org/10.26438/ijcse/v5i11.242249}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i11.242249}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5584
TI - A Systematic Analysis of Two-Dimensional Face Recognition Methods
T2 - International Journal of Computer Sciences and Engineering
AU - Arpit Agrawal
PY - 2017
DA - 2017/11/30
PB - IJCSE, Indore, INDIA
SP - 242-249
IS - 11
VL - 5
SN - 2347-2693
ER -

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Abstract

Face recognition is the most effective and extensively used biometric method. It`s cheap, natural, and non-intrusive. Researchers have created hundreds of facial recognition methods in recent years. Based on face data processing, these methods fall into three groups. The suggested recognition system may employ the full face, particular features or parts of the face, or both global and local face characteristics. This article reviews well-known approaches in each category. First, we discuss biometric facial recognition`s pros and cons. We then describe each well-known method`s concept. Next, the three facial recognition methods are compared. These algorithms are applied to face recognition databases, and some results are shown. Finally, we discuss intriguing new research areas.

Key-Words / Index Term

biometrics; face recognition; person identification

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