Multibiometric Watermarking with Compressive Sensing Theory: Techniques and Applications

ISBN-13: 9783319731827 / Angielski / Twarda / 2018 / 172 str.

Rohit M. Thanki; Vedvyas J. Dwivedi; Komal R. Borisagar

Opis

This book presents multibiometric watermarking techniques for security of biometric data. 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.

Spis treści

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.

O autorze

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.

Blurb

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.