Facial emotions recognition based on wavelet network
Mounira Hmayda, Ridha Ejbali, Mourad Zaied · 2015
This paper presents an emotion recognition system based on Beta wavelet network using the Fast Wavelet Transform in order to improve the performance of this network. The proposed system can be summarized in two main steps: training stage and classification stage. Comparing with many algorithms which suffer from the low classification rates and the long executing time the rates given by our experimental results show the effectiveness of the FWT.