Intelligent Face Detection and Recognition System

Abstract

Face detection applications currently can use machine learning and equations for better identification of human faces in an image or video. In several types of applications such as recognition of face application that is processing in method of biometric for checking the human’s validation which is related to facial information and different types of samples utilizing face detection system. This paper of presentation shows that system of detection and recognition in face by Viola-Jones process add together Haar Cascade and Principal Component Analysis (PCA) of technique which is proposed for gaining better accuracy level in detection of facial portions and recognition of faces. The findings show that the proposed system has performed better compared with other conventional face detection and recognition systems. The investigation has been done in a MATLAB environment on real images of the Faces94, Faces95, Faces96, and grimace databases.