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

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Abstract

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).

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Author information

Authors and Affiliations

  1. C. U. Shah University, Wadhwan City, Gujarat, India

    Rohit Thanki

  2. K. S. Institute of Technology, Bangalore, Karnataka, India

    Surekha Borra

  3. G. H. Patel College of Engineering and Technology, Vallabh Vidyanagar, Gujarat, India

    Deven Trivedi

Authors
  1. Rohit Thanki
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  2. Surekha Borra
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  3. Deven Trivedi
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, NIT Patna, Patna, India

    Amit Kumar Singh

  2. Department of Electronics Engineering, Indian Institute of Technology, BHU, Varanasi, Uttar Pradesh, India

    Anand Mohan

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Thanki, R., Borra, S., Trivedi, D. (2019). Security of Biometric and Biomedical Images Using Sparse Domain Based Watermarking Technique. In: Singh, A., Mohan, A. (eds) Handbook of Multimedia Information Security: Techniques and Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-15887-3_9

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  • DOI: https://doi.org/10.1007/978-3-030-15887-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15886-6

  • Online ISBN: 978-3-030-15887-3

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