Encyclopedia of Biometrics

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

Iris Super-Resolution

  • Yung-Hui Li
  • Marios Savvides
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-73003-5_255



Super-Resolution is an image processing technique which takes input of a single or multiple low-resolution images and produces a single or multiple high-resolution images. By Super-Resolution processing, the quality of images can be enhanced and the follow-up stage of image processing (e.g., segmentation, object recognition, object tracking, or biometric identification) can achieve a higher success rate. The goal of iris Super-Resolution is to apply Super-Resolution technique in the specific domain as in iris image in order to enhance the quality of iris image. The iris image of better quality will result in a higher verification/recognition rate in iris recognition systems.


Image resolution is a fundamental factor for the success of all kinds of image processing techniques, ranging from  image segmentation,  object recognition, tracking, 3D shape estimation, and...
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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Yung-Hui Li
    • 1
  • Marios Savvides
    • 2
  1. 1.Language Technology InstituteCarnegie Mellon UniversityPittsburghUSA
  2. 2.Department of Electrical and Computer EngineeringCarnegie Mellon UniversityPittsburghUSA