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Iris Super-Resolution

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Encyclopedia of Biometrics
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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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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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