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Iris Super-Resolution

  • Reference work entry
  • First Online:
Encyclopedia of Biometrics

  • 132 Accesses

Synonyms

Iris image enhancement by super-resolution method; Super-resolution for iris

Definition

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.

Introduction

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 reconstruction...

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References

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Author information

Authors and Affiliations

  1. Language Technology Institute, Carnegie Mellon University, Pittsburgh, PA, USA

    Yung-hui Li

  2. CMU CyLab Biometrics Center, Pittsburgh, PA, USA

    Marios Savvides

Authors
  1. Yung-hui Li
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  2. Marios Savvides
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Editor information

Editors and Affiliations

  1. Center for Biometrics and Security, Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li

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

    Anil K. Jain

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© 2015 Springer Science+Business Media New York

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Li, Yh., Savvides, M. (2015). Iris Super-Resolution. In: Li, S.Z., Jain, A.K. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7488-4_255

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