Access control based on gait analysis and face recognition

Abstract

According to a new market research report, electronic access control system is expected to be worth $16.3 billion by 2017. Vision-based biometric authentication systems have received much attention with increasing demands for long distance surveillance applications and access control to the security area. Such visual application is mainly focused on face recognition. Nevertheless, small size or poor quality images with varying poses, illumination, expressions, glasses or hats and so on can perturb the recognition. To deal with such problems, the fusing of both face recognition and gait analysis is proposed. Gait has recently become one of the most emerging biometrics for non-intrusive person identification. A system is proposed in which information provided by face recognition and gait analysis is fused to identify people. Such a system has direct industrial applications since it is a non-intrusive security system that is reliable, easily deployable and just needs an inexpensive camera.