Proceedings of the Conference on Advances in Communication and Control Systems (CAC2S 2013)

A Hybrid Algorithm Of Gabor Filter and Gaussian Distribution Feature Extraction Techniques for Facial Expression Recognition

Authors
Aruna Bhadu, Hardyal Singh Shekhawat, Vijay Kumar, Tarun Kumar
Corresponding Author
Aruna Bhadu
Available Online April 2013.
Abstract

Facial expression recognition is necessary for designing any human-machine interfaces. Facial expression plays an important role in the recognition of human emotions and non verbal communication. Human face is a rich and powerful source of communicative information about human behavior. In this dissertation work I contribute to design a feature extraction technique. An efficient facial expression recognition method is proposed. The method uses a combine set of features obtained from Gabor Filter bank with 3 frequencies and 5 different angles and the Gaussian distribution methods. The performance of the proposed method is compared with the Gabor Filter and Gaussian distribution methods. The classification tasks perform using the Adaboost classifier. The training and testing images selected from the publicly available JAFFE (Japanese Female Facial Expression) dataset. For the experimental work 70% data are used for training purpose and remaining 30% data are used for testing purpose. The classification results show that the proposed combine feature extraction methods of Gabor filter and Gaussian distribution provide high recognition rate compared to the individual Gabor filter and Gaussian Distribution Feature Extraction method.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the Conference on Advances in Communication and Control Systems (CAC2S 2013)
Series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-90-78677-66-6
ISSN
1951-6851
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Aruna Bhadu
AU  - Hardyal Singh Shekhawat
AU  - Vijay Kumar
AU  - Tarun Kumar
PY  - 2013/04
DA  - 2013/04
TI  - A Hybrid Algorithm Of Gabor Filter and Gaussian Distribution Feature Extraction Techniques for Facial Expression Recognition
BT  - Proceedings of the Conference on Advances in Communication and Control Systems (CAC2S 2013)
PB  - Atlantis Press
SP  - 145
EP  - 149
SN  - 1951-6851
UR  - https://www.atlantis-press.com/article/6294
ID  - Bhadu2013/04
ER  -