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Reseach Article

Geometric Robust Multimodal Biometric Watermarking Scheme for Copyright Protection of Digital Images

by Meenakshi S. Arya, Rajesh Siddavatam
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 9
Year of Publication: 2013
Authors: Meenakshi S. Arya, Rajesh Siddavatam
10.5120/12525-9056

Meenakshi S. Arya, Rajesh Siddavatam . Geometric Robust Multimodal Biometric Watermarking Scheme for Copyright Protection of Digital Images. International Journal of Computer Applications. 72, 9 ( June 2013), 40-52. DOI=10.5120/12525-9056

@article{ 10.5120/12525-9056,
author = { Meenakshi S. Arya, Rajesh Siddavatam },
title = { Geometric Robust Multimodal Biometric Watermarking Scheme for Copyright Protection of Digital Images },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 9 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 40-52 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number9/12525-9056/ },
doi = { 10.5120/12525-9056 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:37:30.772664+05:30
%A Meenakshi S. Arya
%A Rajesh Siddavatam
%T Geometric Robust Multimodal Biometric Watermarking Scheme for Copyright Protection of Digital Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 9
%P 40-52
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes a copyright protection system using multimodal biometrics for content protection of digital images. Two biometric traits, one physiological (face) and one behavioral (offline handwritten signature) of the legitimate owner are used as watermarks. These watermarks are embedded at different levels of resolution to the high frequency wavelet coefficients through optimal control of the embedding factor. Experimental evaluation confirms the imperceptibility and robustness of the scheme against a family of typical image distortions functions like Jpeg Compression, filtering etc as well as geometric attacks such as scaling, rotation and combined attacks.

References
  1. Anil K Jain, Umut Uludag, "Multimedia Content protection via Biometric based Encryption," Proc. of IEEE International Conference on Multimedia and Expo, ICME, July 2003.
  2. Kundur D. and D. Hatzinakos, "Digital Watermarking using Multi Resolution Wavelet Decomposition," Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 5, pp. 2969-2972, May 1998.
  3. Yang S. H. , "Wavelet Filter Evaluation for Image Watermarking," Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 3, pp. 525-528, April 2003.
  4. Marusic S. , D. B. Tay, G. Deng, and M. Palaniswami, "Even-length Biorthogonal Wavelets for Digital Watermarking," Proc. of Eighth International Symposium on Signal Processing and its Applications, vol. 1, pp. 17-20, August 2005.
  5. Pla O. G. , E. T. Lin, and E. J. Delp, "A Wavelet Watermarking Algorithm Based on a Tree Structure," Proc. of SPIE-IS&T Electronic Imaging, vol. 5306 , pp. 571-580, 2004.
  6. Mayank Vasta, Richa Singh, Afzel noore ,"Improving Biometric Recognition Accuracy and Robustness using DWT and SVM watermarking," IEICE Electronics Express, vol 2, pp. 362-367, June 2005.
  7. Cheng-Yaw Low, Andrew Beng-Jin Teoh, Connie Tea, " Fusion of LSB and DWT Biometric Watermarking for Offline Handwritten Signature," Proc. of 2008 Congress on Image and Signal processing , vol. 5, pp. 702-708, May 2008.
  8. A. M. Namboodiri and A. K. Jain, "Multimedia Document Authentication using On-line Signature as Watermarks," Proc. of the International Society for Optical Engineering (SPIE), vol. 5306, pp. 653-662, June 2004.
  9. M. Barni, F. Bartolini, A. Piva, "Improved Wavelet based Watermarking through Pixel Wise Masking," IEEE Transactions on Image Processing vol. 10, pp. 783–791, May 2001.
  10. A. A. Reddy, B. N. Chatterji, "A New Wavelet Based Logo–Watermarking Scheme," Pattern Recognition Letters, vol. 26, pp. 1019–1027, May 2005.
  11. W. Sweldens, "The Lifting Scheme: A Construction of Second Generation Wavelets," SIAM Journal on Mathematical Analysis, vol. 29, pp. 511-546, March 1998.
  12. Fritz Keinert, "Biorthogonal Wavelets for Fast Matrix Computations," Applied and Computational Harmonic Analysis, vol. 1, pp. 147-156, March 1994.
  13. Cox J. Kilian, F. Leighton, and T. Shamoon, "Secure Spread Spectrum Watermarking for Multimedia," IEEE Transaction on Image Processing, vol. 6, pp. 1673–1687, Dec. 1997.
  14. Meenakshi S Arya and Rajesh Siddavatam, "A Novel Biometric Watermarking Approach Using LWT- SVD," Communications in Computer and Information Science, Information Technology and Mobile Communication, vol. 147, pp. 123-131, April 2011.
  15. Piotr Porwik, "The Compact Three Stages Method of the Signature Recognition," Proc. of 6th International Conference on Computer Information Systems and Industrial Management Applications, pp. 282-287, June 2007.
  16. Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh and Eero P. Simoncelli, "Image Quality Assessment: From Error Visibility to Structural Similarity," IEEE Transactions on Image Processing, vol. 13, pp. 600- 612, April 2004.
  17. F. A. P. Petitcolas, "Watermarking Schemes Evaluation," IEEE Signal Processing Magazine, vol. 17, pp. 58–64, Sep. 2000.
  18. F. Gembicki and Y. Haimes, "Approach to Performance and Sensitivity Multiobjective Optimization: The Goal Attainment Method," IEEE Transactions on Autom. Control, vol. 20, pp. 769–771, Dec. 1975.
Index Terms

Computer Science
Information Sciences

Keywords

multimodal biometrics lifting wavelet transform biorthogonal wavelets structural similarity index measure