Iris texture as a unique and stable biometric modality can be used for reliable identity authentication in many important applications such as secure access control, international border crossing and law enforcement, etc. Fundamentals of iris recognition will be briefly introduced firstly. And then recent progress of iris sensors, algorithms and applications will be presented to motivate novel ideas for possible improvement of iris biometrics. Recent development of light-field iris sensors and computational imaging algorithms is promising to improve user-interface of iris image acquisition. Deep learning has been successfully used for iris image segmentation, iris feature representation and iris liveness detection. Mobile applications of iris biometrics have been developed to secure Internet bank, e-commerce, etc. Fusion of iris and face biometrics has promising applications in long distance or on the move personal identification.
Zhenan Sun is currently a Professor with the Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), China. He received the B.E. degree in industrial automation from Dalian University of Technology, Dalian, China, the M.S. degree in system engineering from Huazhong University of Science and Technology, Wuhan, China, and the Ph.D. degree in pattern recognition and intelligent systems from CASIA in 1999, 2002, and 2006, respectively. Since March 2006, he has joined the NLPR of CASIA as a Faculty Member. He is IAPR Fellow and the Chair of IAPR Technical Committee on Biometrics, a member of the IEEE Computer Society and the IEEE Signal Processing Society. His current research interests include biometrics, pattern recognition, and computer vision, and he has authored/co-authored over 200 technical papers. He is currently an Associated Editor of IEEE Transactions on Biometrics, Behavior, and Identity Science. And he has been an Associated Editor of IEEE Transactions on Information Forensics and Security and IEEE Biometrics Compendium.