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John Daugman
British computer scientist

John Daugman

John Daugman
The basics

Quick Facts

Intro British computer scientist
Is Mathematician Computer scientist Engineer Professor Educator
From United States of America
Field Academia Engineering Mathematics Technology Science
Gender male
Birth 17 February 1954, United States of America, USA
Age 68 years
Star sign Aquarius
Residence Cambridge, United Kingdom
Harvard University
National Inventors Hall of Fame  
Fellow of the Royal Academy of Engineering  
Fellow of the International Association for Pattern Recognition  
Fellow of the British Computer Society  
Fellow of the Institute of Mathematics and its Applications  
The details (from wikipedia)


John Gustav Daugman OBE FREng is a British-American professor of computer vision and pattern recognition at the University of Cambridge. His major research contributions have been in computational neuroscience (wavelet models of mammalian vision), 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 a billion persons worldwide in government ID programs.

Education and early life

The son of émigrés Josef Petros Daugmanis from Latvia and Runa Inge Olsson from Sweden, John Daugman was educated in America, receiving an A.B. degree and a Ph.D. degree (1983) from Harvard University.

Career and research

Following his PhD, Daugman held a post-doctoral fellowship, then taught at Harvard for five years. After short appointments in Germany and Japan, he joined the University of Cambridge in England to research and to teach computer vision, neural computing, information theory, and pattern recognition. He held the Johann Bernoulli Chair of Mathematics and Informatics at the University of Groningen in the Netherlands, and the Toshiba Endowed Chair at the Tokyo Institute of Technology in Japan before becoming Professor at Cambridge.

Iris recognition algorithm

Daugman filed for a patent for his iris recognition algorithm in 1991 while working at the University of Cambridge. The algorithm was first commercialized in the late 1990s. His algorithm automatically recognizes persons in real-time by encoding the random patterns visible in the iris of the eye from some distance, and applying a powerful test of statistical independence. As of 2015, it was used in many identification applications such as the Unique IDentification Authority of India (UIDAI) for registering all 1.2 billion citizens of India for government services and entitlements, border crossing controls in United Arab Emirates and passport-free immigration in the UK, the Netherlands, United States, Canada, and other countries.

Daugman's algorithm uses a 2D Gabor wavelet transform to extract the phase structure of the iris. This is encoded into a very compact bit stream, the IrisCode, that is stored in a database for identification at search speeds of millions of iris patterns per second per single CPU core.

Awards and honours

Daugman has received several awards, including:

  • Presidential Young Investigator Award from the US National Science Foundation
  • Information Technology Award and Medal from the British Computer Society
  • "Millennium Product" Award from the UK Design Council
  • "Time 100" Innovators Award
  • OBE, Order of the British Empire, from Queen Elizabeth II
  • Fellow of the Institute of Mathematics and its Applications (FIMA) (2011)
  • Fellow of the International Association for Pattern Recognition (FIAPR) (2012)
  • Fellow of the US National Academy of Inventors (FNAI) (2015)
  • Fellow of the British Computer Society (FBCS) and CEng (2015)
  • Fellow of the Royal Academy of Engineering (FREng) (2015)
  • Inducted into the US National Inventors Hall of Fame
The contents of this page are sourced from Wikipedia article on 18 Apr 2020. The contents are available under the CC BY-SA 4.0 license.
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