Iris Recognition: Fundamentals and State of the Art
Prof. Tieniu Tan
Center for Biometrics and Security Research,
National Lab of Pattern Recognition (NLPR)
Institute of Automation, Chinese Academy of Sciences (CASIA)
Abstract:
With an increasing emphasis on security, automated personal identification based
on biometrics has recently gained extensive attention from both research
community and industry. Iris recognition is becoming one of the most active
topics in biometrics due to its high reliability for identification. Great
progress has been achieved since the concept of automated iris recognition was
first proposed in the 80s.
This tutorial will cover the fundamentals and state of the art of iris
recognition, including discussions on each step of a complete iris recognition
system (from iris sensor design, iris image databases, liveness detection, iris
image quality assessment, iris image synthesis, iris region detection and
normalization to iris feature representation and matching). Current applications
and remaining issues in iris recognition will also be discussed.
Biography:
Tieniu Tan received the B.Sc.degree in electronic engineering from Xi'an
Jiaotong University, China, in 1984, and the M.Sc. and Ph.D. degrees in
electronic engineering from Imperial College of Science, Technology and
Medicine, London, U.K., in 1986 and 1989, respectively.
In October 1989, he joined the Computational Vision Group at the Department of
Computer Science, The University of Reading, Reading, U.K., where he worked as a
Research Fellow, Senior Research Fellow and Lecturer. In January 1998, he
returned to China to join the National Laboratory of Pattern Recognition (NLPR),
Institute of Automation of the Chinese Academy of Sciences (CAS), Beijing,
China, where is currently Professor and Director of the NLPR, and the President
of the Institute. He is also Head of Department of Automation, The University of
Science and Technology of China (USTC). He has published more than 200 research
papers in refereed journals and conferences in the areas of image processing,
computer vision and pattern recognition. His current research interests include
biometrics, image and video understanding (intelligent surveillance, semantic
content analysis and monitoring, etc.), digital watermarking and information
hiding.
Dr. Tan is a Fellow of the IEEE and serves as referee or program committee
member and chair for many major national and international journals and
conferences. He was a Guest Editor of the International Journal of Computer
Vision (June 2000), and is an Associate Editor or member of editorial boards of
a number of international journals including IEEE Transactions on Pattern
Analysis and Machine Intelligence (PAMI), IEEE Transactions on Automation
Science and Engineering, IEEE Transactions on Information Forensics and
Security, and Pattern Recognition. He is Chair of the IAPR Technical Committee
on Signal Processing for Machine Intelligence and Chair of the Fellow Committee
of the IEEE Beijing Section. He currently serves as the Acting President of the
Chinese Society of Image and Graphics, and Deputy President of the China
Computer Federation and the Chinese Automation Association. He has given invited
talks at many universities and international conferences. He was listed as one
of the top 100 most influential young professionals for China in the 21st
century in Year 2001.
IAPR International Conference on Biometrics 2006