%0 Journal Article %A ZHOU Yuxuan %A WU Qin %A LIANG Jiuzhen %A WANG Nianbing %A LI Wenjing %T Facial expression recognition based on discriminative CLBP %D 2017 %R 10.3778/j.issn.1002-8331.1507-0048 %J Computer Engineering and Applications %P 163-169 %V 53 %N 4 %X To overcome high dimension and characteristic redundancy of CLBP features which result in the decrease of recognition speed and low recognition rate, this paper proposes an algorithm for facial expression recognition based on discriminative Completed Local Binary Pattern(disCLBP). First of all, the facial expression sub-regions are isolated by a preprocessing step; then sub-regions and the global facial expression images are extracted by disCLBP, and different features are filtered for different expressions. After that cascade histograms are generated by associating the histograms of the filtered features of the images and the sub-regions. In the end, filtered features are classified by nearest neighbor classifier. Theaccuracy of the experiment on the facial expression database of CK is 97%. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1507-0048