Multibiometric Watermarking with Compressive Sensing Theory

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Details

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


Autorentext

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.


Inhalt

Chapter 1. Introduction.- Chapter 2.Related Works and Background Information.- Chapter 3.Issues in Biometric System and Proposed Research Methodology.- Chapter 4.Multibiometric Watermarking Technique using Discrete Wavelet Trans-form (DWT).- Chapter 5. Multibiometric Watermarking Technique using Discrete Cosine Trans-form (DCT) and Discrete Wavelet Transform (DWT).- Chapter 6.Multibiometric Watermarking Technique using Discrete Wavelet Trans-form (DWT) and Singular Value Decomposition (SVD).- Chapter 7.Multibiometric Watermarking Technique using Fast Discrete Curvelet Transform (FDCuT) and Discrete Cosine Transform (DCT).- Chapter 8.Conclusions and Future Work.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319731827
    • Lesemotiv Verstehen
    • Genre Electrical Engineering
    • Auflage 1st edition 2018
    • Sprache Englisch
    • Anzahl Seiten 196
    • Herausgeber Springer International Publishing
    • Größe H241mm x B160mm x T17mm
    • Jahr 2018
    • EAN 9783319731827
    • Format Fester Einband
    • ISBN 3319731823
    • Veröffentlichung 29.01.2018
    • Titel Multibiometric Watermarking with Compressive Sensing Theory
    • Autor Rohit M. Thanki , Komal R. Borisagar , Vedvyas J. Dwivedi
    • Untertitel Techniques and Applications
    • Gewicht 465g

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