Development of Door Access Control Application Using Face Recognition System

Abstract

The security currently become a very important issue in public or private institutions in which various security systems have been proposed and developed for some crucial processes such as person identifications, verification or recognition especially for building access control, suspect identifications by the police, driver licenses and many others. Face recognitions have been an active area of research with numerous applications since three decades ago and become one of the important elements in security system development. This paper focuses on the study and development on an automated face recognition system with the potential application for office door access control. The technique of eigenfaces based on the Principal component analysis (PCA) and artificial neural networks have been applied into the system. The study includes the analysis of the influences of three main factors of head orientation on the developed face recognition system and it is purposely built for office door access control. The experimental results have shown that the developed system has achieved good performance of face recognition rate of 80% at the distance of camera and subject between 40 cm to 60 cm and orientation head angle must be within the range of -20 to +20 degrees.