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A Survey on Facial Expression Recognition Techniques

Tejaswi Satepuri1 , P. Chandrasekar Reddy2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 980-984, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.980984

Online published on May 31, 2019

Copyright © Tejaswi Satepuri, P. Chandrasekar Reddy . 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: Tejaswi Satepuri, P. Chandrasekar Reddy, “A Survey on Facial Expression Recognition Techniques,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.980-984, 2019.

MLA Style Citation: Tejaswi Satepuri, P. Chandrasekar Reddy "A Survey on Facial Expression Recognition Techniques." International Journal of Computer Sciences and Engineering 7.5 (2019): 980-984.

APA Style Citation: Tejaswi Satepuri, P. Chandrasekar Reddy, (2019). A Survey on Facial Expression Recognition Techniques. International Journal of Computer Sciences and Engineering, 7(5), 980-984.

BibTex Style Citation:
@article{Satepuri_2019,
author = {Tejaswi Satepuri, P. Chandrasekar Reddy},
title = {A Survey on Facial Expression Recognition Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {980-984},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4349},
doi = {https://doi.org/10.26438/ijcse/v7i5.980984}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.980984}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4349
TI - A Survey on Facial Expression Recognition Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Tejaswi Satepuri, P. Chandrasekar Reddy
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 980-984
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

Facial image analysis is a important and mainstream research point and it incorporates face detection, face recognition, facial expression analysis, and a few other related applications. LBP is a non-parametric descriptor whose point is to proficiently condense the neighborhood structures of images. As of late, it has stirred expanding enthusiasm for some territories of image processing and computer vision, and has demonstrated its viability in various applications, specifically for facial image analysis, including undertakings as assorted as face detection, face recognition, facial expression analysis, statistic classification, and so on. This paper presents a comprehensive overview of Gabor Filter and SVM, Genetic Algorithms and Neural Network and at long last CNN including a few later variations. LBP-based facial image analysis is widely checked on, while its fruitful expansions in managing different errands of facial image analysis are likewise featured.

Key-Words / Index Term

Facial expressions recognition, LBP, human cognition, emotion model, machine learning

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