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Improved Facial Expression Recognition Based on DWT Feature for Deep CNN
2019
Electronics
Facial expression recognition (FER) has become one of the most important fields of research in pattern recognition. In this paper, we propose a method for the identification of facial expressions of people through their emotions. Being robust against illumination changes, this method combines four steps: Viola–Jones face detection algorithm, facial image enhancement using contrast limited adaptive histogram equalization (CLAHE) algorithm, the discrete wavelet transform (DWT), and deep
doi:10.3390/electronics8030324
fatcat:dnjji46sazgxlnomhbgsvi2h6q