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Multibiometric Watermarking with Compressive Sensing Theory

Techniques and Applications

  • Provides a complete review of multibiometric watermarking techniques in spatial, transform, and hybrid domains

  • Presents a secure multibiometric watermarking with Compressive Sensing (CS) theory to prevent stone of biometric data and spoof biometric issues

  • Covers different watermarking techniques using the biometric image for the security of biometric data transmission for banking applications

Book

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar
    Pages 1-18
  3. Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar
    Pages 19-46
  4. Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar
    Pages 47-63
  5. Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar
    Pages 65-89
  6. Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar
    Pages 161-163
  7. Back Matter
    Pages 165-172

About this book

Introduction

This book presents multibiometric watermarking techniques for security of biometric data. This book also covers transform domain multibiometric watermarking techniques and their advantages and limitations. The authors have developed novel watermarking techniques with a combination of Compressive Sensing (CS) theory for the security of biometric data at the system database of the biometric system. The authors show how these techniques offer higher robustness, authenticity, better imperceptibility, increased payload capacity, and secure biometric watermarks. They show how to use the CS theory for the security of biometric watermarks before embedding into the host biometric data. The suggested methods may find potential applications in the security of biometric data at various banking applications, access control of laboratories, nuclear power stations, military base, and airports.

Keywords

Speech Watermarking Speech Compression Watermark techniques for Speech Signals copyright protection of speech signals Speech Signals

Authors and affiliations

  1. 1.C. U. Shah UniversityWadhwan CityIndia
  2. 2.C. U. Shah UniversityWadhwan CityIndia
  3. 3.Atmiya Institute of Technology and ScienceRajkotIndia

About the authors

Dr. Rohit M. Thanki obtained his Ph.D. in Multibiometric System Security from C. U. Shah University, Wadhwan city, Gujarat, India in 2017. His area of research interest is Digital Watermarking, Biometrics System, Security, Compressive Sensing, Pattern Recognition and Image Processing. He has published 3 books, 4 book chapters and 28 research papers to his credit in refereed & indexed journals, and conference at international and national level. His international recognition includes his professional memberships & services in refereed organizations, programme committees and reviewer for journals published by IEEE, Elsevier, Taylor & Francis, Springer, IGI-Global etc.

Dr. Vedvyas J. Dwivedi is Professor (Department of E.C. Engineering, Faculty of Technology and Engineering) and Vice-Provost of C. U. Shah University. He has guided 7 Ph.D. theses, 43 M. Tech. dissertations, examined 8 Ph.D. theses from Indian Universities, 4 Ph.D. Theses from the United States based Universities, published 137 research and review articles, delivered 38 expert/resource talks, authored/co-authored 10 books, completed 12 research/consultancy projects, published 8 patents, chaired 16 sessions in national/international conferences of IEEE, IETE, IE (I), ISTE and HEIs. His expertise and interest areas are wireless-satellite-mobile-optical-RF-Microwave systems, sensor-energy-signal technology. He is an excellent international orator and psychological mentor especially on humanity oriented leadership and motivation. He has 9746 followers on facebook, twitter, researchgate, linkedin and googlescholar. His videos on youtube and cushahuniversity are available. He has earned B.E (Electronics Engineering), M.E. (Electronics and Communication Engineering), and Ph.D. (Electronics and Communication Engineering).

Dr. Komal R. Borisagar is currently an Associate Professor in the Department of ECE, Atmiya Institute of Technology and Science, Rajkot, Gujarat, India. She earned her Doctorate in Speech Processing form JJTU, Rajasthan in 2012. Her area of research interest is Digital Watermarking, Medical Image Compression, Wireless Communication, Speech Processing, and Image Processing. She has published 1 book chapters and more than 40 research papers to her credit in refereed & indexed journals, and conferences at international and national levels.

Bibliographic information

  • Book Title Multibiometric Watermarking with Compressive Sensing Theory
  • Book Subtitle Techniques and Applications
  • Authors Rohit M. Thanki
    Vedvyas J. Dwivedi
    Komal R. Borisagar
  • Series Title Signals and Communication Technology
  • Series Abbreviated Title Signals, Communication Technology
  • DOI https://doi.org/10.1007/978-3-319-73183-4
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-73182-7
  • Softcover ISBN 978-3-319-89239-9
  • eBook ISBN 978-3-319-73183-4
  • Series ISSN 1860-4862
  • Series E-ISSN 1860-4870
  • Edition Number 1
  • Number of Pages XXI, 172
  • Number of Illustrations 56 b/w illustrations, 48 illustrations in colour
  • Topics Signal, Image and Speech Processing
    Computational Linguistics
    Natural Language Processing (NLP)
    Database Management
  • Buy this book on publisher's site
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