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)


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.


Tieniu Tan received the 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