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Face Detection and Expression Recognition Using Fuzzy Rule Interpolation

Williams. D. Ofor1 , Nuka. D. Nwiabu2 , Daniel Matthias3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1683-1689, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.16831689

Online published on May 31, 2019

Copyright © Williams. D. Ofor, Nuka. D. Nwiabu, Daniel Matthias . 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: Williams. D. Ofor, Nuka. D. Nwiabu, Daniel Matthias, “Face Detection and Expression Recognition Using Fuzzy Rule Interpolation,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1683-1689, 2019.

MLA Style Citation: Williams. D. Ofor, Nuka. D. Nwiabu, Daniel Matthias "Face Detection and Expression Recognition Using Fuzzy Rule Interpolation." International Journal of Computer Sciences and Engineering 7.5 (2019): 1683-1689.

APA Style Citation: Williams. D. Ofor, Nuka. D. Nwiabu, Daniel Matthias, (2019). Face Detection and Expression Recognition Using Fuzzy Rule Interpolation. International Journal of Computer Sciences and Engineering, 7(5), 1683-1689.

BibTex Style Citation:
@article{Ofor_2019,
author = {Williams. D. Ofor, Nuka. D. Nwiabu, Daniel Matthias},
title = {Face Detection and Expression Recognition Using Fuzzy Rule Interpolation},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1683-1689},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4471},
doi = {https://doi.org/10.26438/ijcse/v7i5.16831689}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.16831689}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4471
TI - Face Detection and Expression Recognition Using Fuzzy Rule Interpolation
T2 - International Journal of Computer Sciences and Engineering
AU - Williams. D. Ofor, Nuka. D. Nwiabu, Daniel Matthias
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1683-1689
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

humans make use of facial expression to communicate in their day to day interactions with each other, which comes naturally without much effort. Facial expression is essentially a communication and interaction between humans and where other information like speech is not available; it becomes what one can depend on to transmit emotion or reactions of an individual. Hence, human expression recognition with high recognition is still an interesting task. This study is aimed at implementing face detection and expression recognition using fuzzy rule interpolation (FRI) technique. This follows through a development of specifications for fuzzy rule interpolation in emotion recognition using the viola jones algorithm as the detection algorithm and local binary pattern (LBP) algorithm for the feature extraction. The extended Cohn Kanade (CK+) face database was used for the experimentation of the system. The classification of the various expressions was achieved by the image category classifier of Matlab.

Key-Words / Index Term

Fuzzy Rule Interpolation, Viola Jones Algorithm, Local Binary Pattern, Human Computer Interaction, Region of Interest, emotions, Compositional Rule of Inference, Sparse Rule

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