Skip to main content

Digital Watermarking Algorithm Based on Iris Features

  • Conference paper

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 124))

Abstract

Combined with the biometric identification technology and digital watermarking technology, a digital watermarking algorithm based on iris features is proposed. A secret key is used to generate the pseudorandom sequence which would have the cryptography in the sense of security. Through the two-scale wavelet transform and the combination of singular value decomposition, the robustness of the watermark can be improved. The experimental result shows that the watermarking algorithm is fit for iris feature and has strong robustness in noise resistance, geometric transform, compression and other aspects.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   389.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   499.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Cheng, Q., Wang, Y., Huang, T.S.: How to Design Efficient Watermark, vol. 6. IEEE (2003)

    Google Scholar 

  2. Cox, I.J., Miller, M.L.: The First 50 Years of Electronic Watermarking. Int. J. Applied Signal Processing, 126–132 (2002)

    Google Scholar 

  3. Daubechies, I.: Orthonormal Bases of Compactly Supported Wavelets. Comm. Pure Appl. Math., 909–996 (2008)

    Google Scholar 

  4. Zhang, L., Zhang, D.: Characterization of Palmprints by Wavelet Signatures via Directional Context Modeling. IEEE Transactions on System, Man, and Cybernetics-Part B: Cybernetics 34, 1335–1347 (2004)

    Article  Google Scholar 

  5. Lu, Z.M., Ge, Q.M., Robust, X.M.: Adaptive Video Watermarking in the Spatial Domain. In: The 5th International Symposium on Test and Measurement, Shenzhen, China (2003)

    Google Scholar 

  6. Kim, J.R., Moon, Y.S.: A Robust Wavelet Based Digital Watermark Using Level-adaptive Thresholding. In: Proceedings of IEEE International Conference on Image Proceeding (2009)

    Google Scholar 

  7. Huang, Y.-P., et al.: An Efficient Iris Recognition System. In: Proceedings of the First International Conference on Machine Learning and Cybernetics (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Li, F., Wang, S., Yuan, W. (2011). Digital Watermarking Algorithm Based on Iris Features. In: Wang, Y., Li, T. (eds) Practical Applications of Intelligent Systems. Advances in Intelligent and Soft Computing, vol 124. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25658-5_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25658-5_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25657-8

  • Online ISBN: 978-3-642-25658-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics