Title: Simultaneous face and facial expression recognition using a MLP neural network based on constructive training algorithm

Authors: Hayet Boughrara; Mohamed Chtourou; Chokri Ben Amar

Addresses: Control and Energy Management Laboratory, University of Sfax, ENIS, BP. 1173, 3038, Sfax, Tunisia ' Control and Energy Management Laboratory, University of Sfax, ENIS, BP. 1173, 3038, Sfax, Tunisia ' REGIM-Lab.: Research Groups in Intelligent Machines, University of Sfax, ENIS, BP. 1173, 3038, Sfax, Tunisia

Abstract: This paper proposes a system for simultaneous recognition of faces and facial expressions using a constructive training algorithm. A MLP classifier has been developed to recognise at the same time face and facial expression. Feature extraction step is based on perceived facial images. The algorithm is formed by a reduced number of hidden neurons and a set of training patterns. A new hidden neuron is added when mean square error (MSE) of training data (TD) is not reduced to a predefined value. Input patterns are trained incrementally until all patterns of TD are learned. The proposed algorithm seeks to find synthesis parameters as patterns number corresponding for the subsets of each class to be presented initially in training step, initial number of hidden neurons, iterations number as well as the MSE value. By comparing with a fixed MLP and feature extraction techniques, the effectiveness of the proposed approach has been proven.

Keywords: face recognition; facial expression recognition; constructive training algorithm; multilayer perceptron; MLP; perceived facial images; Gabor filters; local binary pattern; LBP; principal component analysis; PCA.

DOI: 10.1504/IJAPR.2017.085310

International Journal of Applied Pattern Recognition, 2017 Vol.4 No.2, pp.128 - 145

Received: 30 Jul 2016
Accepted: 04 Nov 2016
Published online: 21 Jul 2017 *

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