Efficient Recognition of Facial Expression Using Compound Local Binary Pattern with Histogram of Oriented Gradients

In recent years, automatically recognizing facial expression has essential real world applications. It remains a challenging problem and active research topic in computer vision. Many novel methods have been proposed to tackle the automatic facial expression recognition problem. One of the difficult issues for a successful facial expression recognition system is, to design a robust facial feature descriptor. A facial descriptor is proposed for automatic facial expression recognition. In the proposed method, Compound Local Gabor Binary Pattern (CGLBP) is used as descriptor for facial expression with Histogram of Oriented Gradients (HOG). For feature extraction the facial features are extracted in the following three steps: First Gabor Coefficients Maps (GCM) is extracted from the face image using the multi-scale and multi-orientation Gabor filters. The compound local binary pattern operator is