ISSN :2582-9793

Understanding Biometric Entropy and Iris Capacity: Avoiding Identity Collisions on National Scales

Original Research (Published On: 04-Apr-2024 )
Understanding Biometric Entropy and Iris Capacity: Avoiding Identity Collisions on National Scales

John Daugman

Adv. Artif. Intell. Mach. Learn., 4 (2):2152-216

John Daugman : Department of Computer Science and Technology University of Cambridge

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Article History: Received on: 03-Feb-24, Accepted on: 29-Mar-24, Published on: 04-Apr-24

Corresponding Author: John Daugman

Email: John.Daugman@CL.cam.ac.uk

Citation: John Daugman (2024). Understanding Biometric Entropy and Iris Capacity: Avoiding Identity Collisions on National Scales. Adv. Artif. Intell. Mach. Learn., 4 (2 ):2152-216


Abstract

    

The numbers of persons who can be enrolled by their iris patterns with no identity collisions is studied in relation to the biometric entropy extracted, and the decision operating threshold. The population size at which identity collision becomes likelier than not, given those variables, defines iris “capacity.” The general solution to this combinatorial problem is derived, in analogy with the well-known “birthday problem.” Its application to unique biometric identification on national population scales is shown, referencing empirical data from US NIST (National Institute of Standards and Technology) trials involving 1.2 trillion (1.2 × 1012) iris comparisons. The entropy of a given person’s two iris patterns suffices for global identity uniqueness

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