A Novel Biometric Watermaking Approach Using LWT- SVD

  • Meenakshi Arya
  • Rajesh Siddavatam
Part of the Communications in Computer and Information Science book series (CCIS, volume 147)

Abstract

The lifting wavelet transform (LWT) is a recent approach to wavelet transform, and singular value decomposition (SVD) is a valuable transform technique for robust digital watermarking. While LWT allows generating an infinite number of discrete biorthogonal wavelets starting from an initial one, singular values (SV) allow us to make changes in an image without affecting the image quality much. This paper presents an approach which tries to amalgamate the features of these two transforms to achieve a hybrid and robust digital image watermarking techniques. Certain performance metrics are used to test the robustness of the method against common image processing attacks.

Keywords

Biorthogonal wavelets Biometric watermarking Lifting wavelet transform Singular value decomposition 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Jain, A.K., Hong, L., Bolle, R.: On-line Fingerprint Verification. IEEE Trans. PAMI 19(4), 302–314 (1997)CrossRefGoogle Scholar
  2. 2.
    Pang, Y.H., Teoh, A.B.J., David Ngo, C.L.: Enhanced Pseudo Zernike Moments in Face Recognition. IEICE Electron, Express 2(3), 70–75 (2005)CrossRefGoogle Scholar
  3. 3.
    Low, C.Y., Teoh, A.B.-J., Tea, C.: A Preliminary Study on Biometric Watermarking for Offline Handwritten Signature. In: Proc. Of 2007 IEEE International Conference on Telecommunications, Malaysia (2007)Google Scholar
  4. 4.
    Low, C.Y., Teoh, A.B.-J., Tea, C.: Fusion of LSB and LWT Biometric Watermarking for Offline Handwritten Signature. In: 2008 Congress on Image and signal processing, pp. 702–708. IEEE Computer Society, Los Alamitos (2008)CrossRefGoogle Scholar
  5. 5.
    Low, C.Y., Teoh, A.B.-J., Tea, C.: Support Vector Machines (SVM) based Biometric Watermarking for Offline Handwritten Signature. In: 2008 Congress on Image and signal processing, pp. 702–708. IEEE Computer Society, Los Alamitos (2008)CrossRefGoogle Scholar
  6. 6.
    Vasta, M., Singh, R., Noore, A.: Improving Biometric recognition accuracy and robustness using DWT and SVM watermarking. IEICE Electronics Express 2(12), 362–367 (2005)CrossRefGoogle Scholar
  7. 7.
    Vasta, M., Singh, R., Noore, A.: Robust Biometric Image Watermarking for Fingerprint and Face Template Protection. IEICE Tran. On Fundamentals of Electronics (2006)Google Scholar
  8. 8.
    Sweldens, W.: The lifting scheme: A New Philosophy in Biorthogonal Wavelet Constructions. In: Proceedings of SPIE, pp. 68-79 (1995)Google Scholar
  9. 9.
    Daubechies, I., Sweldens, W.: Factoring Wavelet Transforms into Lifting Schemes. The Journal of Fourier Analysis and Applications 4, 247–269 (1998)MathSciNetCrossRefMATHGoogle Scholar
  10. 10.
    Chandra, D.V.S.: Digital Image Watermarking using Singular Value Decomposition. In: Proc. of 45th IEEE Midwest Symposium on circuits and Systems, Tulsa, OK, pp. 264–267 (2002)Google Scholar
  11. 11.
    Liu, R., Tan, T.: A SVD based Watermarking scheme for protecting rightful ownership. IEEE Transactions on Multimedia 4(1), 121–128 (2002)CrossRefGoogle Scholar
  12. 12.
    Zhou, B., Chen, J.: A Geometric Distortion Resilient Image Watermarking Algorithm Based on SVD. Chinese Journal of Image and Graphics 9, 506–512 (2004)Google Scholar
  13. 13.
    Bao, P., Ma, X.: Image Adaptive Watermarking Using Wavelet Domain Singular Value Decomposition. IEEE Transactions on Circuits and Systems for Video Technology 15(1), 96–102 (2005)CrossRefGoogle Scholar
  14. 14.
    Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image Quality Assessment: From Error Visibility to Structural Similarity. IEEE Transactions On Image Processing 13(4) (2004)Google Scholar
  15. 15.
    Ooi, S. Y., Teoh, A.B.J., David Ngo, C.L.: Offline Signature Verification through Discrete Radon Transform and Principal Component Analysis. In: Proc. of International Conference on Computer and Communication Engineering (ICCCE), (2006). Google Scholar
  16. 16.
    Tuyls, P., Akkermans, A.H.M., Kevenaar, T.A.M.: Face Recognition with Renewable and Privacy Preserving Binary Templates. In: 4th IEEE Workshop on Automatic Identification Advanced Technologies (2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Meenakshi Arya
    • 1
  • Rajesh Siddavatam
    • 1
  1. 1.Department of CSE & ITJaypee University of Information TechnologySolanIndia

Personalised recommendations