Probing the Uniqueness and Randomness of IrisCodes: Results From 200 Billion Iris Pair Comparisons

By John G. Daugman. Proceedings of the IEEE, 2006

539 citations recorded by the source corpus.

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Image understanding for iris biometrics: A survey (2008, background): “In [34], Daugman describes how iris recognition is currently being used to check visitors to the United Arab Emirates against a “watch-list” of persons who are denied entry to the country.”
Secure and Robust Iris Recognition Using Random Projections and Sparse Representations (2011, background): “Existing algorithms based on extracting and matching features from iris have reported very high recognition rates on clean datasets [2].”
Comparison and combination of iris matchers for reliable personal authentication (2010, background): “He has also presented [21] the most promising experimental results from large-scale private database.”
50 years of biometric research: Accomplishments, challenges, and opportunities (2016, unknown): “Level 1 features capture macroscopic details Please cite this article as: A.K. Jain et al., 50 years of biometric research: Accomplishments, challenges, and opportunities, Pattern Recognition Letters (2016), http://dx.doi.org/10.1016/j.patrec.2015.12.013”
Biometric Template Protection: Bridging the performance gap between theory and practice (2015, methodology): “A good example of estimating entropy based on match scores is the analysis of impostor score distribution using IrisCodes extracted from 632, 500 different iris images [44].”