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Biometric Watermarking Technique Based on CS Theory and Fast Discrete Curvelet Transform for Face and Fingerprint Protection

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Advances in Signal Processing and Intelligent Recognition Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 425))

Abstract

Nowadays, multibiometric system is employed to overcome limitation of the unimodal biometric system. The problem associated with multibiometric system is to design technique which offers security for biometric data. A biometric watermarking technique using compressive sensing (CS) theory and Fast Discrete Curvelet Transform is proposed for face and fingerprint protection. Compressive sensing has provided computational security to watermark fingerprint image and used for generation of sparse measurements of the watermark fingerprint image. This proposed watermarking technique embeds sparse measurements of the watermark fingerprint image into high frequency curvelet coefficients of host face image. The quantitative measure such as a structural similarity index measure is used for cross verification between original watermark fingerprint image and reconstructed fingerprint image. The watermarked face image and reconstructed watermark fingerprint image are formed face-fingerprint based multibiometric system which is used for two levels of verification of individuals. The experimental results demonstrate that proposed watermarking technique does not affect verification and authentication performance of multibiometric system.

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Author information

Authors and Affiliations

  1. Ph.D. Research Scholar, Faculty of Technology and Engineering, C. U. Shah University, Wadhwan City, Gujarat, India

    Rohit Thanki

  2. E.C. Department, Atmiya Institute of Technology and Science, Rajkot, Gujarat, India

    Komal Borisagar

Authors
  1. Rohit Thanki
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  2. Komal Borisagar
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Corresponding author

Correspondence to Rohit Thanki .

Editor information

Editors and Affiliations

  1. and Management – Kerala (IIITM-K), Indian Inst. of Information Technology, Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Machine Intelligence Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Sanghamitra Bandyopadhyay

  3. Department of Electrical, Ryerson University, Toronto, Ontario, Canada

    Sri Krishnan

  4. Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. Computer Engineering Department, Vladimir State University, Vladimir Region, Russia

    Sergey Mosin

  6. School of Electrical, Nanyang Technological University, Singapore, Singapore

    Maode Ma

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© 2016 Springer International Publishing Switzerland

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Thanki, R., Borisagar, K. (2016). Biometric Watermarking Technique Based on CS Theory and Fast Discrete Curvelet Transform for Face and Fingerprint Protection. In: Thampi, S., Bandyopadhyay, S., Krishnan, S., Li, KC., Mosin, S., Ma, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol 425. Springer, Cham. https://doi.org/10.1007/978-3-319-28658-7_12

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  • DOI: https://doi.org/10.1007/978-3-319-28658-7_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28656-3

  • Online ISBN: 978-3-319-28658-7

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