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2014 | OriginalPaper | Chapter

6. Iris Anti-spoofing

Authors : Zhenan Sun, Tieniu Tan

Published in: Handbook of Biometric Anti-Spoofing

Publisher: Springer London

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Abstract

Iris images contain rich texture information for reliable personal identification. However, forged iris patterns may be used to spoof iris recognition systems. This paper proposes an iris anti-spoofing approach based on the texture discrimination between genuine and fake iris images. Four texture analysis methods include gray level co-occurrence matrix, statistical distribution of iris texture primitives, local binary patterns (LBP) and weighted-LBP are used for iris liveness detection. And a fake iris image database is constructed for performance evaluation of iris liveness detection methods. Fake iris images are captured from artificial eyeballs, textured contact lens and iris patterns printed on a paper, or synthesised from textured contact lens patterns. Experimental results demonstrate the effectiveness of the proposed texture analysis methods for iris liveness detection. And the learned statistical texture features based on weighted-LBP can achieve 99accuracy in classification of genuine and fake iris images.

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previous chapter Face Anti-spoofing: Multi-spectral Approach
next chapter Speaker Recognition Anti-spoofing
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Metadata
Title
Iris Anti-spoofing
Authors
Zhenan Sun
Tieniu Tan
Copyright Year
2014
Publisher
Springer London
Book
Handbook of Biometric Anti-Spoofing

Print ISBN: 978-1-4471-6523-1

Electronic ISBN: 978-1-4471-6524-8

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-1-4471-6524-8_6