Gabor wavelet transform based facial expression recognition using PCA and LBP

Muzammil Abdulrahman; Tajuddeen R. Gwadabe; Fahad J. Abdu; Alaa Eleyan

doi:10.1109/SIU.2014.6830717

Gabor wavelet transform based facial expression recognition using PCA and LBP

Muzammil Abdulrahman
, Tajuddeen R. Gwadabe
, Fahad J. Abdu
, Alaa Eleyan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

83 Scopus citations

Abstract

This paper proposed a facial expression recognition approach based on Gabor wavelet transform. Gabor wavelet filter is first used as pre-processing stage for extraction of the feature vector representation. Dimensionality of the feature vector is reduced using Principal Component Analysis (PCA) and Local binary pattern (LBP) algorithms. Experiments were carried out of using Japanese female facial expression (JAFFE) database. In all experiments conducted using JAFFE database, results obtained reveal that GW+LBP has outperformed other approaches in this paper with an average recognition rate of 90% under the same experimental setting.

Original language	English
Title of host publication	2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
Publisher	IEEE Computer Society
Pages	2265-2268
Number of pages	4
ISBN (Print)	9781479948741
DOIs	https://doi.org/10.1109/SIU.2014.6830717
State	Published - 2014
Externally published	Yes
Event	2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Trabzon, Turkey Duration: 23 Apr 2014 → 25 Apr 2014

Publication series

Name	2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings

Conference

Conference	2014 22nd Signal Processing and Communications Applications Conference, SIU 2014
Country/Territory	Turkey
City	Trabzon
Period	23/04/14 → 25/04/14

Keywords

Facial Expression Recognition
Gabor Wavelet Transform
Local Binary Patterns
Principal Component Analysis

ASJC Scopus subject areas

Computer Networks and Communications
Control and Systems Engineering

Access to Document

10.1109/SIU.2014.6830717

Cite this

Abdulrahman, M., Gwadabe, T. R., Abdu, F. J., & Eleyan, A. (2014). Gabor wavelet transform based facial expression recognition using PCA and LBP. In 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings (pp. 2265-2268). Article 6830717 (2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings). IEEE Computer Society. https://doi.org/10.1109/SIU.2014.6830717

Abdulrahman, Muzammil ; Gwadabe, Tajuddeen R. ; Abdu, Fahad J. et al. / Gabor wavelet transform based facial expression recognition using PCA and LBP. 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings. IEEE Computer Society, 2014. pp. 2265-2268 (2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings).

@inproceedings{53b0971175b843a69c558d0f936ca4a9,

title = "Gabor wavelet transform based facial expression recognition using PCA and LBP",

abstract = "This paper proposed a facial expression recognition approach based on Gabor wavelet transform. Gabor wavelet filter is first used as pre-processing stage for extraction of the feature vector representation. Dimensionality of the feature vector is reduced using Principal Component Analysis (PCA) and Local binary pattern (LBP) algorithms. Experiments were carried out of using Japanese female facial expression (JAFFE) database. In all experiments conducted using JAFFE database, results obtained reveal that GW+LBP has outperformed other approaches in this paper with an average recognition rate of 90\% under the same experimental setting.",

keywords = "Facial Expression Recognition, Gabor Wavelet Transform, Local Binary Patterns, Principal Component Analysis",

author = "Muzammil Abdulrahman and Gwadabe, \{Tajuddeen R.\} and Abdu, \{Fahad J.\} and Alaa Eleyan",

year = "2014",

doi = "10.1109/SIU.2014.6830717",

language = "English",

isbn = "9781479948741",

series = "2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings",

publisher = "IEEE Computer Society",

pages = "2265--2268",

booktitle = "2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings",

address = "United States",

note = "2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 ; Conference date: 23-04-2014 Through 25-04-2014",

}

Abdulrahman, M, Gwadabe, TR, Abdu, FJ & Eleyan, A 2014, Gabor wavelet transform based facial expression recognition using PCA and LBP. in 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings., 6830717, 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings, IEEE Computer Society, pp. 2265-2268, 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014, Trabzon, Turkey, 23/04/14. https://doi.org/10.1109/SIU.2014.6830717

Gabor wavelet transform based facial expression recognition using PCA and LBP. / Abdulrahman, Muzammil; Gwadabe, Tajuddeen R.; Abdu, Fahad J. et al.
2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings. IEEE Computer Society, 2014. p. 2265-2268 6830717 (2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Gabor wavelet transform based facial expression recognition using PCA and LBP

AU - Abdulrahman, Muzammil

AU - Gwadabe, Tajuddeen R.

AU - Abdu, Fahad J.

AU - Eleyan, Alaa

PY - 2014

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N2 - This paper proposed a facial expression recognition approach based on Gabor wavelet transform. Gabor wavelet filter is first used as pre-processing stage for extraction of the feature vector representation. Dimensionality of the feature vector is reduced using Principal Component Analysis (PCA) and Local binary pattern (LBP) algorithms. Experiments were carried out of using Japanese female facial expression (JAFFE) database. In all experiments conducted using JAFFE database, results obtained reveal that GW+LBP has outperformed other approaches in this paper with an average recognition rate of 90% under the same experimental setting.

AB - This paper proposed a facial expression recognition approach based on Gabor wavelet transform. Gabor wavelet filter is first used as pre-processing stage for extraction of the feature vector representation. Dimensionality of the feature vector is reduced using Principal Component Analysis (PCA) and Local binary pattern (LBP) algorithms. Experiments were carried out of using Japanese female facial expression (JAFFE) database. In all experiments conducted using JAFFE database, results obtained reveal that GW+LBP has outperformed other approaches in this paper with an average recognition rate of 90% under the same experimental setting.

KW - Facial Expression Recognition

KW - Gabor Wavelet Transform

KW - Local Binary Patterns

KW - Principal Component Analysis

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DO - 10.1109/SIU.2014.6830717

M3 - Conference contribution

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SN - 9781479948741

T3 - 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings

SP - 2265

EP - 2268

BT - 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings

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Abdulrahman M, Gwadabe TR, Abdu FJ, Eleyan A. Gabor wavelet transform based facial expression recognition using PCA and LBP. In 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings. IEEE Computer Society. 2014. p. 2265-2268. 6830717. (2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings). doi: 10.1109/SIU.2014.6830717

Gabor wavelet transform based facial expression recognition using PCA and LBP

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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