Face Detection and Recognition in Real Time

Abstract

Face recognition Technology has received significant attention in the past several years in research and application, the existence of several algorithms makes a difficult choice for implementation. The goal of this project is to implement a real time face recognition application, in the first part we implement a system using a global based algorithm (PCA) and we have tested and discussed performance of the application at each level ( detecting, tracking, recognizing). In the second part we tried to make an enhancement of the first algorithm by combining it with two different classifiers, (K-NN and Naïve Bayes), and tested the performance on three different static datasets and discussed results of the