Encyclopedia of Biometrics

2009 Edition
| Editors: Stan Z. Li, Anil Jain

Iris Encoding and Recognition using Gabor Wavelets

  • John Daugman
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-73003-5_307



The method of encoding iris patterns that is used in all current public deployments of iris recognition technology is based on a set of mathematical functions called  Gabor wavelets that analyze and extract the unique texture of an iris. They encode it in terms of its phase structure at multiple scales of analysis. When this phase information is coarsely quantized, it creates a random bit stream that is sufficiently stable for a given eye, yet random and diverse for different eyes, that iris patterns can be recognized very rapidly and reliably over large databases by a simple test of statistical independence. The success of this biometric algorithm may be attributed in part to certain important properties of the Gabor wavelets as encoders, and to the simplicity and efficiency of searches for matches when pattern information is represented in terms of such phase bit strings.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • John Daugman
    • 1
  1. 1.Cambridge UniversityCambridgeUK