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Iris recognition: Sensors, Algorithms and Applications

Prof. Zhenan Sun
National Laboratory of Pattern Recognition
Chinese Academy of Science, Institute of Automation, China

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 is promising to improve user-interface of iris image acquisition. Deep learning has been successfully used for iris image segmentation, iris matching and liveness detection. Mobile applications of iris biometrics have been developed to secure Internet bank, e-commerce, etc.

 

CO-ORGANIZED BY

European Commission

EU Horizon 2020
Project IDENTITY


PARTNERS AND SPONSORS

 

IAPR
Technical Committee on Biometrics (TC4)

 

IEEE

“Eurasip”
European Association for Signal Processing

 

GIRPR

Morpho - Safran group

“Griaule

EAB European Association for Biometrics

 

Biometrics Institute

 

Biosecure

 

University of Sassari

 

Athena