Robust Watermarking Technique Using Different Wavelet Decomposition Levels for Signature Image Protection

Authors

  • Rohit Thanki Faculty of Technology & Engineering Chimanlal Ujamshibhai Shah University, Gujarat, India
  • Ved Vyas Dwivedi Faculty of Technology & Engineering Chimanlal Ujamshibhai Shah University, Gujarat, India
  • Komal Borisagar Atmiya Institute of Technology & Science, Gujarat, India

DOI:

https://doi.org/10.32890/jict2017.16.1.9

Keywords:

Biometric image, offline signature, watermarking, wavelet decomposition

Abstract

This paper proposed a non-blind watermarking technique based on different wavelet decomposition levels for biometric image protection. In this technique, a biometric image is used as a watermark instead of a standard image, logo or random noise pattern type watermark. For watermark embedding, the original host image and the watermark biometric image are transformed into various levels of wavelet coefficients. The watermark biometric image is embedded into the host image by modifying the values of the wavelet coefficients of the host image using the values of wavelet coefficients of the watermark biometric image. Experimental results demonstrated that the proposed technique was able to withstand various watermarking attacks. The novelty of the proposed technique is that it is used to transform coefficients of the watermark biometric image instead of the Pseudo Noise sequences or any other feature extraction technique.

 

References

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Published

31-05-2017

Issue

Vol. 16 No. 1 (2017): Journal of Information and Communication Technology (JICT) Vol.16, No.1, June 2017

Section

Articles

How to Cite

Thanki, R., Dwivedi, V. V., & Borisagar, K. (2017). Robust Watermarking Technique Using Different Wavelet Decomposition Levels for Signature Image Protection. Journal of Information and Communication Technology, 16(1), 157-174. https://doi.org/10.32890/jict2017.16.1.9

Research impact

Harvested 2026-09-06
5 citations, from OpenAlex — the highest of the sources checked

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Identifiers DOI 10.32890/jict2017.16.1.9 OpenAlex W4250899193