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Collision Avoidance on National and Global Scales: Understanding and Using Big Biometric Entropy

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posted on 24.02.2021, 00:43 by John Daugman
Large-scale testing involving more than a trillion comparisons between the iris patterns of different persons has confirmed that the entropy of IrisCodes is large enough to deliver collision avoidance (absence of False Matches) in population sizes of national, continental, and even planetary scale. This short paper explains how the entropy of this biometric achieves it.

History

Email Address of Submitting Author

John.Daugman@CL.cam.ac.uk

ORCID of Submitting Author

0000-0002-9085-6173

Submitting Author's Institution

Cambridge University

Submitting Author's Country

United Kingdom