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Iris recognition

Prof. Tieniu Tan
National Laboratory of Pattern Recognition
Chinese Academy of Science, Institute of Automation, China

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 lecture 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.

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