Encyclopedia of Biometrics

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

Iris Recognition Performance Under Extreme Image Compression

  • John Daugman
  • Cathryn Downing
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-73003-5_164


The compressibility of images is usually gauged by their subjective appearance and by metrics for the amount of distortion that can be tolerated. In the context of biometrics, compressibility can be gauged objectively by measuring the impact of compression schemes on recognition performance compared to baseline performance. Standard biometric methodologies such as Receiver Operating Characteristic (ROC) curves are perfectly suited for measuring the impact of compression on performance. It is possible for performance actually to benefit from slight image compression, as has been seen both with fingerprint and iris recognition, because high frequency noise is the first thing lost; but at more severe levels, compression must become detrimental. For iris recognition, it is possible to compress images to as little as 2,000 bytes through a combination of methods including cropping, region-of-interest (ROI) isolation and JPEG2000 wavelet coding, while suffering only a little...

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • John Daugman
    • 1
  • Cathryn Downing
    • 1
  1. 1.Computer LaboratoryCambridge UniversityCambridgeUK