Offline Handwritten Signature based Blind Biometric Watermarking and Authentication Technique using Biorthogonal Wavelet Transform
![]() |
10.5120/1547-1970 |
Vandana S.Inamdar, Priti. P Rege and Meenakshi S Arya. Article:Offline Handwritten Signature based Blind Biometric Watermarking and Authentication Technique using Biorthogonal Wavelet Transform. International Journal of Computer Applications 11(1):19–27, December 2010. Published By Foundation of Computer Science. BibTeX
@article{key:article, author = {Vandana S.Inamdar and Priti. P. Rege and Meenakshi S Arya}, title = {Article:Offline Handwritten Signature based Blind Biometric Watermarking and Authentication Technique using Biorthogonal Wavelet Transform}, journal = {International Journal of Computer Applications}, year = {2010}, volume = {11}, number = {1}, pages = {19--27}, month = {December}, note = {Published By Foundation of Computer Science} }
Abstract
A method for establishing the identity of an individual is essential in all transactions whether they are commercial or personal. The ability to establish identity with certainty can prevent fraud or forgery. In the midst of an electronic revolution, this remains a major concern in ecommerce, telecommunications, healthcare, and security. In this paper, we present a novel method for biometric image watermarking using the biorthogonal wavelet transform and authentication of the recovered signature from the image data. In proposed approach the offline signature, which is a biometric characteristics of owner is embedded in second level detailed coefficients of discrete wavelet transform of cover image. The novelty of the proposed scheme is that, it also goes a step further wherein it extracts the features of recovered signatures and does the template matching with features of signature data base.
Reference
- A. K.Jain, L. Hong and S. Pankanti ,“Biometric Identification”, Comm. ACM, vol. 43, no. 2, pp. 91-98, Feb. 2000
- Hartung F, Kutter M ,“Multimedia watermarking Technique”, IEEE proceeding on Signal Processing,” vol 87, no.7, pp.1079-1107, July 1999
- Anil K. Jain, Stan Z. Li, “Encyclopedia of Biometrics,” Springer (2009)
- Cheng-Yaw Low, Andrew Beng-Jin Teoh, Connie Tea, “ Fusion of LSB and DWT Biometric watermarking for offline handwritten signature,” 2008 Congress on Image and signal processing , IEEE Computer Society, pp.702-708, 2008.
- Anil K Jain, Umut Uludag, ” Multimedia Content protection via Biometric based encryption,” IEEE international conference on Multimedia and Expo”, July 2003.
- Mayank Vasta, Richa Singh, Afzel noore ,“Improving Biometric recognition accuracy and robustness using DWT and SVM watermarking,” IEICE Electronics Express, vol 2 , no.12, pp.362-367, June 2005
- W. Zhu et al, ”Multi resolution Watermarking for Images and Video,” IEEE Transaction On Circuits & Systems for Video Technology, vol.9, no.4, June 1999, pp.545-550
- W. Zhu et al ,”Multi resolution Watermarking for Images and Video : A Unified Approach,” Proc. IEEE International Conference on Image Processing, ICIP-98, vol.1, pp.465-468.
- A. M. Namboodiri , A. K. Jain, “Multimedia Document Authentication using On-line Signature as Watermarks,” Proc. of the International Society for Optical Engineering (SPIE), 2004.
- Kundur D. and D. Hatzinakos ,“Digital watermarking using multi resolution wavelet decomposition,” Technical report, Dept. of Electrical and Computer Engineering, University of Toronto, 1998
- Yang S.H. ,“Wavelet filter evaluation for image watermarking,” Technical report, Dept. of Computer Science and Information Engineering, National Taipei University of Technology, China, 2002
- Marusic S., D.B. Tay, G. Deng, and M. Palaniswami ,“Even-length biorthogonal wavelets for digital watermarking”, Technical Report School of Electrical Engineering and Telecommunication, University of South Wales, Australia, 2004
- Pla O.G., E.T. Lin, and E.J. Delp ,“A wavelet watermarking algorithm based on a tree structure,” Technical report Polytechnic University of Catalonia, Spain, 2004
- Huang Z.Q., and Z. Jiang ,“Watermarking Still Images Using Parameterized Wavelet Systems,” Technical report School of Computing and IT, University of Western Sydney, Australia, 2003
- Fritz Keinert, “Biorthogonal wavelets for fast matrix computations,” Mathematics subject classification, 1991.
- Mark Nixon, Alberto Aguado, ”Feature Extraction and image Processing ,” Elsevier, 2005.
- Santi P. Maity, Malay K. Kundu, Mrinal Kr. Mandal ,“Capacity Improvement in Spread Spectrum Watermarking using Biorthogonal Wavelet,” 2005 IEEE proceedings, pp.1426-1429.
- Nikolaidis N., and I. Pitas, “Copyright protection of images using robust digital signatures,” in Proc. IEEE ICASSP’96, pp. 2168–2171.
- Shih-Hsuan Yang, “Wavelet filter evaluation for image watermarking,” ICASSP 2003.
- Anil K Jain, Umut Uludag, “ Hiding Biometric data,” IEEE transaction on pattern analysis and Machine intelligence, vol. 25, no.11, pp.1494-1498, November 2003
- Piotr Porwik, ”The compact three stages method of the signature recognition,” 6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07).
- Hernandez J.R, F.P. Gonzalez, and M., Amado, “DCT-domain image watermarking and generalized Gaussian models,” Technical report University de Vigo, Spain,1998
- Nino D., M. Abdallah, and B. Hammo ,“Dual domain watermarking in the biological colour model,” ICIA International Conference , Sri Lanka, Colombo, 2006, pp. 407-411.
- Yuehua Z., C. Guixian and D. Yunhai, “An image watermark algorithm based on discrete cosine transform block classifying,” ACM International Conference , 2004 , pp. 234-235
- Wu X., J. Hu, Z. Gu, and J Huang, “A Secure Semi-Fragile Watermarking for Image Authentication Based on Integer Wavelet Transform with Parameters,” Technical Report School of Information Science and Technology, Sun Yat-Sen University, 2005, China.
- Zohu Wang, Alan Bovik, Hamid sheikh, Eero Simoncelli, “ Image Quality Assessment From Error visibility to Structural Similarity “, IEEE transaction on Image Processing, vol 13, no. 4, April 2004
- 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
- Suhad Hajjara, Moussa abdallah, Amjad Hudaib ,” Digital Image Watermarking Using Localized Biorthogonal wavelets,” European journal of scientific research, vol. 26, no.4 (2009),pp. 594-608
- Lindsay I Smith ,” A tutorial on Principal Component Analysis” Feb.26, 2002
- Tonphone Kaewkongka, Kosin C , Bundit T ,”Offline Signature Recognition using Parameterized Hough Transform,” 5th international symposium on Signal Processing and Applications, ISSPA 99,Brisbane, Australia, August 1999