Automatic facial expression recognition using local binary pattern

In this paper, an efficient method for human facial expression recognition is presented based on LBP descriptor. Firstly, the face normalization is employed in order to improve the efficiencies of extracting facial features. Then, the feature blocks which mainly contain the eyes and mouth were obtained, and each feature block image was divided into several overlapping sub-regions equally to extract LBP histograms. After that, the PCA method is used to learn the structure of the expression in the LBP feature space. Finally, the recognition experiment is conducted on the JAFFE facial expression database by using the nearest neighbor classifier. Experimental result shows competitive performance.