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A Survey: Face Detection and Recognition from Occluded images

Kashyap Patel1 , Hemant Yadav2

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-3 , Page no. 567-570, Mar-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i3.567570

Online published on Mar 31, 2019

Copyright © Kashyap Patel, Hemant Yadav . 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: Kashyap Patel, Hemant Yadav, “A Survey: Face Detection and Recognition from Occluded images,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.567-570, 2019.

MLA Style Citation: Kashyap Patel, Hemant Yadav "A Survey: Face Detection and Recognition from Occluded images." International Journal of Computer Sciences and Engineering 7.3 (2019): 567-570.

APA Style Citation: Kashyap Patel, Hemant Yadav, (2019). A Survey: Face Detection and Recognition from Occluded images. International Journal of Computer Sciences and Engineering, 7(3), 567-570.

BibTex Style Citation:
@article{Patel_2019,
author = {Kashyap Patel, Hemant Yadav},
title = {A Survey: Face Detection and Recognition from Occluded images},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {567-570},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3881},
doi = {https://doi.org/10.26438/ijcse/v7i3.567570}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.567570}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3881
TI - A Survey: Face Detection and Recognition from Occluded images
T2 - International Journal of Computer Sciences and Engineering
AU - Kashyap Patel, Hemant Yadav
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 567-570
IS - 3
VL - 7
SN - 2347-2693
ER -

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Abstract

Face recognition system is used to identify a person by comparing a face image in a database record. Face recognition is comparing and matching human beings with their faces. Face occlusion detection is also part of face recognition. Face occlusion is one of the major problems in face recognition. Facial occlusion is different from another kind of challenge in the field of artificial intelligence (AI). Occlusion means some area of the face is hidden behind an object like sunglasses, hand, and mask, etc. This paper gives brief information about face detection and recognition from occluded face images. This paper includes face occlusion detection methods like SVM, LGBPHS, S – LNME, and LBP, etc. that are used to recognize an occluded human face from a database record. This paper contains some publicly available datasets: Occluded LFW dataset, FERFT datasets, WebV-Cele dataset, Bosphorus dataset, UMB (University of Milano Bicocca) datasets and so on.

Key-Words / Index Term

Face Recognition, Face Detection, Face Occlusion Detection, Convolution Neural Networks (CNN), Datasets

References

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