Abstract: Iris recognition has legendary resistance to false matches, and the tools of information theory can help to explain why. The concept of entropy is fundamental to understanding biometric collision avoidance.
Nov 12, 2015
This paper analyses the bit sequences of IrisCodes computed both from real iris images and from synthetic white noise iris images, whose pixel values are random ...
A simple two-state hidden Markov model is shown to emulate exactly the statistics of bit sequences generated both from natural and white noise iris images, ...
A simple two-state hidden Markov model is shown to emulate exactly the statistics of bit sequences generated both from natural and white noise iris images, ...
Feb 1, 2016 · A simple two-state hidden Markov model is shown to emulate exactly the statistics of bit sequences generated both from natural and white noise ...
[PDF] New Perspectives on Recognition Performance of Daugman's IrisCode
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ABSTRACT Daugman's design of IrisCode continues to be fascinating in the research world with its practicality, efficiency, and outstanding performance.
“Information Theory and the IrisCode”. In: IEEE Transactions on Information Forensics and Security 11.2 (2016), pp. 400–409. doi: 10.1109/. TIFS.2015.2500196 ...
IrisCode is the most successful iris recognition method. Developed for over 18 years, IrisCode still dominates the market even though numerous iris ...
Missing: Information | Show results with:Information
2.3 Information theory . ... Binomial Distribution of IrisCode Hamming ... • Experiments measuring information content of the iris showed that information content.
Information Theory · Mathematical Methods in ... Daugman J and Downing C (2019) "Radial correlations in iris patterns, and mutual information within IrisCodes.