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A Review paper on different Pose Invariant Face Recognition Techniques using Neural Networks

Nivedita Verma1 , Sanyam Shukla2

Section:Review Paper, Product Type: Journal Paper
Volume-3 , Issue-5 , Page no. 98-104, May-2015

Online published on May 30, 2015

Copyright © Nivedita Verma , Sanyam Shukla . 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: Nivedita Verma , Sanyam Shukla, “A Review paper on different Pose Invariant Face Recognition Techniques using Neural Networks,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.5, pp.98-104, 2015.

MLA Style Citation: Nivedita Verma , Sanyam Shukla "A Review paper on different Pose Invariant Face Recognition Techniques using Neural Networks." International Journal of Computer Sciences and Engineering 3.5 (2015): 98-104.

APA Style Citation: Nivedita Verma , Sanyam Shukla, (2015). A Review paper on different Pose Invariant Face Recognition Techniques using Neural Networks. International Journal of Computer Sciences and Engineering, 3(5), 98-104.

BibTex Style Citation:
@article{Verma_2015,
author = {Nivedita Verma , Sanyam Shukla},
title = {A Review paper on different Pose Invariant Face Recognition Techniques using Neural Networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2015},
volume = {3},
Issue = {5},
month = {5},
year = {2015},
issn = {2347-2693},
pages = {98-104},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=487},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=487
TI - A Review paper on different Pose Invariant Face Recognition Techniques using Neural Networks
T2 - International Journal of Computer Sciences and Engineering
AU - Nivedita Verma , Sanyam Shukla
PY - 2015
DA - 2015/05/30
PB - IJCSE, Indore, INDIA
SP - 98-104
IS - 5
VL - 3
SN - 2347-2693
ER -

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Abstract

In existing face recognition techniques researchers have encountered major difficulties while dealing with variation of poses, aging, expressions, and variation in illumination. As the rotations of face parts causes major differences in face image and changes in appearance. For that reason extensive efforts have been taken by vision researchers in area of pose-invariant face recognition in last decade and many salient methodologies have been implemented. This paper provides a literature review of the existing robust face recognition methodologies using neural networks for handling pose invariant and above mentioned issues which caused difficulties in face recognition, it also contains detailed description of presented methods. This paper also includes strengths and drawbacks of these face recognition systems, and several promising directions for future research are also considered.

Key-Words / Index Term

Face Recognition, Pose Invariant, Gabor Feature, Local Binary Pattern (LBP), Local Derivative Pattern (LDP) ,Neural Networks, Classifier

References

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