Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

A Facial Expression Recognition Method Based on Quantum Neural Networks

Authors
Li Peng1, Junhua Li
1School of Communication and Control Engineering Jiangnan University
Corresponding Author
Li Peng
Available Online October 2007.
DOI
https://doi.org/10.2991/iske.2007.10How to use a DOI?
Keywords
Quantum neural network; Multi-level transfer function; Multi-layer classifier; Facial expression recognition; Pattern recognition
Abstract

The Facial Expression recognition is an important and complicated problem of pattern recognition field. In this paper, an approach to Facial Expression recognition based on multi-level transfer function Quantum Neural Networks (QNN) and multi-layer classifiers is presented. The QNN is trained and tested by the Japanese female facial expression (JAFFE) database. The experiment results indicate the method achieves excellent performance in terms of recognition rates and recognition reliability, and show the superiority and potential of QNN in solving pattern recognition problems.

Copyright
© 2007, 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 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
978-90-78677-04-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/iske.2007.10How to use a DOI?
Copyright
© 2007, 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  - Li Peng
AU  - Junhua Li
PY  - 2007/10
DA  - 2007/10
TI  - A Facial Expression Recognition Method Based on Quantum Neural Networks
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 51
EP  - 54
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.10
DO  - https://doi.org/10.2991/iske.2007.10
ID  - Peng2007/10
ER  -