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Securing Multiple Biometric Data Using SVD and Curvelet-Based Watermarking

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  • Rohit M. Thanki

    (C. U. Shah University, Wadhwan City, India)

  • Komal Rajendrakumar Borisagar

    (Atmiya Institute of Technology and Science, Rajkot, India)

Abstract

The security and privacy of biometric data in multibiometric systems has become a hot research topic. In this paper, a singular value decomposition (SVD) and fast discrete curvelet transform (FDCuT)-based watermarking scheme for authenticity of fingerprint image using watermark speech signal has been proposed and analyzed. This scheme also provides security to watermark speech signal, which is inserted into the fingerprint image. This proposed scheme has a number of steps including fingerprint image authentication using watermark speech signal. The human speech signal is taken as secret watermark information and inserting into the human fingerprint image in the proposed scheme. The singular value of high frequency curvelet coefficients of the host fingerprint image is modified according to watermark speech signal to get secured and watermarked fingerprint image. The analysis results show that the performance of fingerprint recognition system is not affected by inserted watermark speech signal into host fingerprint image.

Suggested Citation

  • Rohit M. Thanki & Komal Rajendrakumar Borisagar, 2018. "Securing Multiple Biometric Data Using SVD and Curvelet-Based Watermarking," International Journal of Information Security and Privacy (IJISP), IGI Global, vol. 12(4), pages 35-53, October.
    • Handle: RePEc:igg:jisp00:v:12:y:2018:i:4:p:35-53
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