Facial Expression Recognition Using Voila and Jones Algorithm and Principal Component Analysis: A Propose Work

Abstract

Human face detection (FD) and recognition is a tough subject matter and a lively location of research. It is not unusual in numerous fields such as image processing (IP) and pc vision. It is the number one and the first step in wide range of applications which include face recognition (FR), private identification (PI), identity verification (IV), facial expression (FE) extraction, and gender class. In this paper, a multilevel model for face detection is included based totally on Viola and Jones algorithm, Principal Component Analysis. The model showed an enhanced performance in terms of face detection rate. The purpose of this paper is to adopt and integrate some of those algorithms in order to get enhanced results.