Research Information System
Journal of Trends in the Development of Machinery and Associated Technology, vol.16, pp.175-178, 2012 (Peer-Reviewed Journal)
In this paper, a method analyzing the facial expressions by applying Gabor filters on face images is presented. To reduce the computational complexity and dimensionality, particle swarm optimization and the mRMR methods are used. 40 Gabor filters with changing parameters are generated and the optimum one from those is determined by applying particle swarm optimization. The dimension of the Optimized Gabor Features is reduced via mRMR method based on mutual information. The facial expression recognition is performed by using only the output of optimum parameter Gabor filter as well as the all 40 filter output feature set. The performance of the proposed method is presented by means of simulations.