A Facial Expression Recognition Method Based on Quantum Neural Networks

DOI

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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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  - 10.2991/iske.2007.10
ID  - Peng2007/10
ER  -