Comparative Analysis of Facial Expression Recognition Algorithms

Facial expression recognition has emerged as a significant area of research in computer vision and pattern recognition due to its wide range of applications that include emotion analysis, human–computer interaction among many others. In recent times, multiple facial expression recognition algorithms have come into light. Each of these techniques employs different techniques and principles. This paper aims to provide a comprehensive analysis and comparison of these algorithms by evaluating their performance, strengths, capabilities, and limitations to provide an overall understanding of the algorithm. By doing the comparative analysis, this paper aims to facilitate a better understanding of these algorithms.