John Daugman

John Daugman
Born(1954-02-17)February 17, 1954
DiedJune 11, 2024(2024-06-11) (aged 70)
CitizenshipBritish and American
Alma materHarvard University (AB, PhD)
Known for
  • Vision theory and pattern recognition; 2D wavelet encodings;

iris recognition algorithm[1]

Awards
Scientific career
Fields
Institutions
Websitewww.cl.cam.ac.uk/~jgd1000/

John Gustav Daugman OBE FREng (February 17, 1954 – June 11, 2024) was a British-American professor of computer vision and pattern recognition at the University of Cambridge. His major research contributions have been in computational neuroscience, pattern recognition, and in computer vision with the original development of wavelet methods for image encoding and analysis. He invented the IrisCode, a 2D Gabor wavelet-based iris recognition algorithm that is the basis of all publicly deployed automatic iris recognition systems and which has registered more than 1.5 billion persons worldwide in government ID programs.[2][3][4][5][6][7]

  1. ^ Cite error: The named reference iris was invoked but never defined (see the help page).
  2. ^ "Biometric personal identification system based on iris analysis". Retrieved 6 December 2010.
  3. ^ John Daugman's publications indexed by the Scopus bibliographic database. (subscription required)
  4. ^ Daugman, J.G. (1993). "High confidence visual recognition of persons by a test of statistical independence". IEEE Transactions on Pattern Analysis and Machine Intelligence. 15 (11): 1148–1161. CiteSeerX 10.1.1.504.8147. doi:10.1109/34.244676.
  5. ^ Daugman, John G. (1985). "Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters". Journal of the Optical Society of America A. 2 (7): 1160–9. Bibcode:1985JOSAA...2.1160D. doi:10.1364/JOSAA.2.001160. PMID 4020513.
  6. ^ "John Daugman's webpage". University of Cambridge. Archived from the original on 29 April 2015.
  7. ^ "Short biographical sketch, John Daugman". University of Cambridge. Archived from the original on 24 March 2014.