Facial Feature Expression Based Approach for Human Face Recognition: A Review
Jageshvar K. Keche, Vikas K. Yeotikar, Mahendra P. Dhore · 2014
The extraction of required facial expression features from the human face image is an important task for face recognition. Facial expressions are natural means of communications between humans and play a major role in pattern recognition and image processing. Research in facial expression recognition has considered seven basic facial expressions namely anger, disgust, fear, happy, sad, surprise and neutral. For the face expression recognition three main phases are used: face detection, facial feature extraction and facial feature classification and recognition. In this paper we studied the different facial feature recognition techniques proposed by various researchers: Gabor, DWT, DCT, RSST Segmentation and Local Binary Patterns(LBP) features with their advantages and disadvantages.