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.
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