A Facial Expression Recognition Method Based on Quantum Neural Networks
- 10.2991/iske.2007.10How to use a DOI?
- Quantum neural network; Multi-level transfer function; Multi-layer classifier; Facial expression recognition; Pattern recognition
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.
- © 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 - 10.2991/iske.2007.10 ID - Peng2007/10 ER -