John Daugman OBE 
 Abstract: "Recognising persons by their iris patterns:  
			National biometric identification systems" 
			Iris recognition provides real-time, high confidence 
			identification of persons by analysis and encoding of the random 
			patterns that are visible within the iris of an eye from some 
			distance. Because the iris is a protected, internal, organ whose 
			random texture is epigenetic and stable over life, it can serve as a 
			living password or passport that one need not remember but is always 
			in one's possession. To date some 30 million persons have enrolled 
			their IrisCodes, and every day some 9 billion iris comparisons are 
			performed in database searches. Several airports deploy it for 
			automatic identification instead of Passport presentation, or for 
			watchlist screening at border-crossings. This talk will briefly 
			explain how the algorithms work by a test of statistical 
			independence involving more than 200 degrees-of-freedom, based on 
			phase sequencing each iris pattern with quadrature 2D wavelets. 
			Database search speeds are about 1 million persons per second per 
			CPU, with intrinsic scalability to national population levels. Data 
			will be presented from 200 billion iris cross-comparisons between 
			different eyes from a large border-crossing security deployment in 
			the Middle East. The talk will conclude with discussion of issues 
			related to current and prospective large-scale identification 
			systems such as national biometric ID cards. 
			Biography: 
			John Daugman received his BA and PhD degrees at Harvard 
			University (USA) and then was appointed to its Faculty. He remained 
			an academic, and was the Johann Bernoulli Professor of Mathematics 
			and Informatics at the University of Groningen (NL), and the 
			Inaugural Toshiba Professor at the Tokyo Institute of Technology 
			(Japan). Since 1994 he has been at the University of Cambridge (UK) 
			where his main areas of research and teaching are Computer Vision, 
			Information Theory, Neural Computing, and Statistical Pattern 
			Recognition. He is the inventor of iris recognition and author of 
			the algorithms used in all current public deployments of this 
			technology. 
			These algorithms have received various awards, including the 
			Information Technology Award and Medal of the British Computer 
			Society. In 2000 he received the OBE. 
              
             
               
            
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