John Daugman, OBE FIMA FIAPR
Professor of Computer Vision and Pattern Recognition
short biographical sketch
Computer vision, statistical pattern recognition, neural computing, wavelet codes.
- Hao F, Daugman J, Zielinski P (2008) "A fast search algorithm for a
large fuzzy database."
IEEE Trans. Information Forensics and Security 3(2), pp 203-212.
- Daugman J (2007) "New methods in iris recognition."
IEEE Trans. Systems, Man, Cybernetics B 37(5), pp 1167-1175.
- Daugman J (2006) "Probing the uniqueness and randomness of IrisCodes:
Results from 200 billion iris pair comparisons." Proceedings of the IEEE,
94(11), pp 1927-1935.
- Daugman J (2003) "Demodulation by complex-valued wavelets for stochastic
pattern recognition." Int'l Journal of Wavelets, Multi-resolution
and Information Processing, 1(1), pp 1-17.
- Daugman J (2003) "The importance of being random: Statistical principles
of iris recognition."
Pattern Recognition, 36(2), pp 279-291.
- Daugman J (2002) "Gabor wavelets and statistical pattern recognition."
The Handbook of Brain Theory and Neural Networks, 2nd ed., MIT Press
(M. Arbib, editor), pp 457-463.
- Daugman J (2001) "Statistical richness of visual phase information."
Int'l Journal of Computer Vision, 45(1), pp 25-38.
- Daugman J and Downing C (2001) "Epigenetic randomness, complexity,
and singularity of human iris patterns." Proceedings of the Royal Society, B,
268, Biological Sciences, pp 1737 - 1740.
- Daugman J (2001) "Brain metaphor and brain theory." Chapter 2 in
Philosophy and the Neurosciences, edited by
W. Bechtel et al. Oxford: Blackwell Publishers. (Scanned PDF
- Daugman J (2000) "Biometric decision landscapes."
Technical Report No. TR482, University of Cambridge Computer
All other links on this page relate to IRIS RECOGNITION, a practical
application of the work in computer vision, wavelets, and statistical
A billion persons enrolled: International deployments of these iris recognition algorithms.
Flagship deployment in India: 630 million persons enrolled so far (short article, PDF).
History of iris recognition.
General introduction (purpose, principle, current applications).
"How Iris Recognition Works" (.pdf reprint:
J. Daugman (2004), IEEE Trans. CSVT 14(1), pp. 21 - 30.)
An iris with its "IrisCode" (and localization graphics).
More examples of
- Detailed colour
iris image, and
- What iris patterns reveal in
- Some pictures and examples
of deployments of the Daugman algorithms.
- Summary of statistical results from
200 billion iris cross-comparisons
(spanning 152 nationalities in the UAE border-crossing database).
More detailed report with full Probability Tables available
- Examples of
deployments at airports and border-crossings (.pdf article from Encyclopedia of Biometrics, 2010).
"Effect of Severe Image Compression on Iris Recognition Performance"
(.pdf reprint: J. Daugman and C. Downing (2008),
IEEE Trans. Inform. Foren. & Secur. 3(1), pp. 52 - 61.)
- A large "watch-list"
national security deployment of these algorithms.
- Interview in BioSocieties (2008) about
biometrics, anonymity, privacy, and the Liberal State.
Iris matching engine, and search speed.
Decision environment (separability of same vs different iris patterns).
Performance of these algorithms compared to other
biometrics (UK National Physical Laboratory
test report, 2001).
Mathematical explanation of "IrisCodes" and iris recognition.
Independence of bits across IrisCodes.
Binomial Distribution of unrelated IrisCodes (histogram of 9.1 million
raw Hamming Distances).
9.1 million comparisons between unrelated IrisCodes (with rotations
for best match).
Quantile-Quantile comparison between the data and binomial theory
(9.1 million comparisons).
false match probability does not accumulate in large database searches.
- What about
genetically identical iris patterns (e.g. identical twins)?
Anatomy, physiology, and development of the iris.
- Operators for
localizing the iris within an image.
disadvantages of the iris for identification.
- Statistical demands of
identification vs verification.
- Is there advantage in
combining multiple biometrics?
- Links to some
licensees and users of these algorithms; and partial list of
- Iris cameras
that use these algorithms.
- How these algorithms
the National Geographic
18 years later.
- What about
- More humour:
"Iris recognition and
The Simpsons Movie"
Cartoons about iris recognition from the British press.
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