Developing an Intelligent Electronic System to Detect and Recognize a Human Face of the Employee Car Driver to Enter to the University of Tabuk

Abstract

The ability to detect and recognize human faces is a key requirement in a great number of applications such as human tracking, human–computer interface, person identification for security systems and the surveillance of human activities. Much research effort has been directed towards this hot topic in recent years. This research project is building a system to detect and recognize a human face of the employee car driver to enter to the university of Tabuk. A system that uses a digital camera will be developed to capture and process the picture of the face driver. To recognize a face, face detection and recognition methods will be developed. The proposed system is composed of the following stages: 1) image acquisition 2) preprocessing methods 3) face detection 4) face recognition. The main goal of this research is to develop an intelligent system to detect and recognize a human face of the employee car diver to enter to the university of Tabuk.

Keywords: Feature Extraction, Gabor feature, Principal Component Analysis, Nearest Neighbor, Face Recognition, Face Detection