Security of Biometric and Biomedical Images Using Sparse Domain Based Watermarking Technique

  • Rohit Thanki
  • Surekha Borra
  • Deven Trivedi


The biomedical images and biometric images is composed of vital wellbeing data, critical unique identity and conduct data of human. Hence, pictures identified with these two data types must be kept secret and must be secured over transmission medium. In this chapter, a new sparse domain image watermarking is proposed, performance examined and correlated with the existing watermarking systems. The proposed technique utilizes the sparsity property of Discrete Wavelet Transform (DWT) and Compressive Sensing (CS) hypothesis procedure to accomplish high strength and security. This technique hides secret watermark data into encoded cover image rather than the frequency coefficients of the original cover image. The scrambled cover image is created from CS hypothesis. In this method, different kinds of biomedical images and ear biometric image are used as cover images and a binary logo is utilized as watermark. The logo is implanted into sparse measurements of cover image using noise sequences and constant gain factor to achieve blind extraction of watermark image. The CS hypothesis guarantees security to cover picture and is safe against different watermarking attacks. Exploratory outcomes demonstrated that the proposed system gives strength against different sorts of image processing attacks in term of normalized correlation (NC).


Biometric Compressive sensing Discrete wavelet transform Sparse domain image watermarking 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Rohit Thanki
    • 1
  • Surekha Borra
    • 2
  • Deven Trivedi
    • 3
  1. 1.C. U. Shah UniversityWadhwan CityIndia
  2. 2.K. S. Institute of TechnologyBangaloreIndia
  3. 3.G. H. Patel College of Engineering and TechnologyVallabh VidyanagarIndia

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