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International Workshop on Digital Watermarking

IWDW 2014: Digital-Forensics and Watermarking pp 174–186Cite as

Effects of Fragile and Semi-fragile Watermarking on Iris Recognition System

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 9023))

Abstract

Security is an important issue in biometric recognition systems. In recent years, many researchers proposed to use watermarking to improve the security of biometric systems, but some people concern whether the embedded watermarks will influence recognition results. In this paper, we investigate the effects of several fragile and semi-fragile watermarking methods on the iris recognition performance. Experimental results demonstrate that, even images are fully embedded, fragile watermarking methods nearly have no effects on the recognition performance, while semi-fragile watermarking methods which embed watermark in the visually important components of images have larger effects on the recognition performance than the semi-fragile watermarking methods that embed watermark in the visually unimportant components of images. And embedding parameters, such as embedding strength and watermark length, also have some influences on the recognition results.

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Acknowledgments

This work is funded by the National Basic Research Program of China (Grant No. 2012CB316300), the National Nature Science Foundation of China (Grant No.61303262), and the National Key Technology R&D Program (Grant No.2012BAH04F02).

Author information

Authors and Affiliations

  1. National Laboratory of Pattern Recognition, Center for Research on Intelligent Perception and Computing, Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Zairan Wang, Jing Dong, Wei Wang & Tieniu Tan

  2. College of Engineering and Information Technology, University of Chinese Academy of Sciences, Beijing, China

    Zairan Wang

Authors
  1. Zairan Wang
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  2. Jing Dong
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  3. Wei Wang
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  4. Tieniu Tan
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Corresponding author

Correspondence to Jing Dong .

Editor information

Editors and Affiliations

  1. NJIT, Newark, New Jersey, USA

    Yun-Qing Shi

  2. Korea University, Seoul, Korea, Republic of (South Korea)

    Hyoung Joong Kim

  3. Universidad de La Laguna, La Laguna, Spain

    Fernando Pérez-González

  4. Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

    Ching-Nung Yang

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© 2015 Springer International Publishing Switzerland

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Wang, Z., Dong, J., Wang, W., Tan, T. (2015). Effects of Fragile and Semi-fragile Watermarking on Iris Recognition System. In: Shi, YQ., Kim, H., Pérez-González, F., Yang, CN. (eds) Digital-Forensics and Watermarking. IWDW 2014. Lecture Notes in Computer Science(), vol 9023. Springer, Cham. https://doi.org/10.1007/978-3-319-19321-2_13

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  • DOI: https://doi.org/10.1007/978-3-319-19321-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19320-5

  • Online ISBN: 978-3-319-19321-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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