Access control based on gait analysis and face recognition. Issue 10 (1st May 2015)

• Record Type: Journal Article
• Authors: Derbel, A.; Vivet, D.; Emile, B.
• Is Part Of: Electronics letters. Volume 51:Issue 10(2015)
• Page Start: 751
• Page End: 752
• Publication Date: 2015-05-01
• Subjects: gait analysis -- face recognition -- biometrics (access control) -- cameras; gait analysis -- face recognition -- electronic access control system -- vision‐based biometric authentication system -- long distance surveillance applications -- poor quality image -- small size image -- nonintrusive person identification -- nonintrusive security system -- inexpensive camera -- E‐monitor age -- Regional Council of the Centre -- French Industry Ministry; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2015.0767
• Languages: English
• ISSNs: 0013-5194

Abstract

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.