Improved Facial Expression Recognition Based on DWT Feature for Deep CNN

Improved Facial Expression Recognition Based on DWT Feature for Deep CNN

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 s...

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Bibliographic Details
Main Authors: Ridha Ilyas Bendjillali, Mohammed Beladgham, Khaled Merit, Abdelmalik Taleb-Ahmed
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Electronics
Subjects:
facial expression recognition (FER)
deep convolutional neural network (deep CNN)
discrete wavelet transform (DWT)
contrast limited adaptive histogram equalization (CLAHE)
Online Access:http://www.mdpi.com/2079-9292/8/3/324

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