M. Carmel Sobia1, A. Abudhahir2
Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 869-881, 2018, DOI:10.31209/2018.100000014
Abstract In this paper, an efficient facial expression recognition system using ANFIS-MHS
(Adaptive Network-based Fuzzy Inference System with Mosquito Host-Seeking)
has been proposed. The features were extracted using MLDA (Modified Linear
Discriminant Analysis) and then the optimized parameters are computed by
using mGSO (modified Glow-worm Swarm Optimization).The proposed system
recognizes the facial expressions using ANFIS-MHS. The experimental results
demonstrate that the proposed technique is performed better than existing
classification schemes like HAKELM (Hybridization of Adaptive Kernel based
Extreme Learning Machine), Support Vector Machine (SVM) and Principal
Component Analysis (PCA). The proposed approach is implemented in MATLAB. More >
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