A Review of the Most Important Textual Descriptors Based on Local Binary Patterns for Facial Expression Recognition

Abstract

Since human facial expression transmits many information, the proper detection is very important. In recent years, many studies have been conducted on the Human and Computer Interaction (HCI), but highprecision facial expression recognition is still a challenging issue and an important one in the field of image processing. Many of these studies have detected only the initial emotional states that include seven main categories of neural, anger, disgust, fear, happy, sadness and surprise. Extracting the attribute from incredible input images is important, and it is necessary to consider the features of the image which have a large effect on identifying the state