An improved method for facial expression recognition using hybrid approach of CLBP and Gabor filter

摘要

Facial Expression Recognition performs a primary role Human computer interaction (HCI) field. The author proposed hybrid approach which performed better in recognizing facial expression. In the paper, the emotions are detected by calculating the feature vector of the input facial image using Hybrid approach and distinguish or classify the features using SVM classifier. The performance of recognition by applying the proposed framework is evaluated with Japanese Female Facial Expression (JAFFE) and Extended Cohn Kanade (Ck+) dataset using Support Vector Machine classifier.