Histogram of Oriented Gradient and Multi Layer Feed forward Neural Network for Facial Expression Identification

Proceedings of 2017 International Conference on Control, Automation and Diagnosis (ICCAD) 2017
Latifa Greche, Naija Es-Sbai, Egons Lavendelis

In this paper an automatic system of performance review has been proposed for facial expression recognition issue. The system is essentially based on histograms of oriented gradient features and multi layer feed forward neural network. The performance was evaluated on three different dataset by varying two parameters: face resolution and color space of images. Results demonstrate that good recognition rates can be obtained using small image resolution in both color spaces grayscale and RGB.

Atslēgas vārdi
Biological neural networks, Face, Feature extraction, Neurons, Face recognition, Histograms, Image resolution
DOI
10.1109/CADIAG.2017.8075680
Hipersaite
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8075680

Greche, L., Es-Sbai, N., Lavendelis, E. Histogram of Oriented Gradient and Multi Layer Feed forward Neural Network for Facial Expression Identification. No: Proceedings of 2017 International Conference on Control, Automation and Diagnosis (ICCAD), Tunisija, Hammamet, 19.-21. janvāris, 2017. Piscataway: IEEE, 2017, 333.-337.lpp. ISBN 978-1-5090-5988-1. e-ISBN 978-1-5090-5987-4. Pieejams: doi:10.1109/CADIAG.2017.8075680

Publikācijas valoda
English (en)