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Iris Encoding and Recognition using Gabor Wavelets

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Encyclopedia of Biometrics

Synonyms

Daugman algorithm; IrisCode; Iris2pi

Definition

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.

Introduction

Different biometric modalities use diverse...

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Author information

Authors and Affiliations

  1. Cambridge University, Cambridge, UK

    John Daugman

Authors
  1. John Daugman
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security Research, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li (Professor) (Professor)

  2. Departments of Computer Science & Engineering, Michigan State University, East Lansing, MI, USA

    Anil Jain (Professor) (Professor)

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© 2009 Springer Science+Business Media, LLC

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Daugman, J. (2009). Iris Encoding and Recognition using Gabor Wavelets. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_307

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