A Review on Different Facial Feature Extraction Methods for Face Emotions Recognition System

Emotion recognition using facial images is the state-of-the-art research area in the human-computer interaction paradigm. In order to recognize emotions from images, the system needs to extract facial features like mouth, eyes, etc. Emotions can also be extracted from frontal and non-frontal images. Traditional methods used for extracting facial features are geometry based method, template based method, and appearance based method. The main focus of this paper is to review different types of facial feature extraction method and this research article illustrates a comparison between different methods and in the end, it describes some future research works that would be helpful to make FER more reliable and efficient.