Face Recognition Performance Comparison Between Real Faces and Pose Variant Face Images from Image Display Device

Face recognition technology, unlike other biometric methods, is conveniently accessible with the use of only a camera. Consequently, it has created an enormous interest in a variety of applications, including face identification, access control, security, surveillance, smart cards, law enforcement, human computer interaction. However, face recognition system is still not robust enough, especially in unconstrained environments, and recognition accuracy is still not acceptable. In this paper, to measure performance reliability of face recognition systems, we expand performance comparison test between real faces and face images from the recognition perspective and verify the adequacy of performance test methods using an image display device.

[1]  Terence Sim,et al.  The CMU Pose, Illumination, and Expression Database , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  P. Jonathon Phillips,et al.  Face recognition vendor test 2002 , 2003, 2003 IEEE International SOI Conference. Proceedings (Cat. No.03CH37443).

[3]  Mi-Young Cho,et al.  Face Recognition Performance Comparison of Fake Faces with Real Faces in Relation to Lighting , 2014, J. Internet Serv. Inf. Secur..

[4]  Byung-Tae Chun,et al.  A Study on Face Recognition Performance Comparison of Real Images with Images from LED Monitor , 2013 .

[5]  Hyeonjoon Moon,et al.  The FERET Evaluation Methodology for Face-Recognition Algorithms , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Sungsoo Park,et al.  The POSTECH face database (PF07) and performance evaluation , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.