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Multibiometric Watermarking with Compressive Sensing Theory: Techniques and Applications (Signals and Communication Technology) - Hardcover

 
9783319731827: Multibiometric Watermarking with Compressive Sensing Theory: Techniques and Applications (Signals and Communication Technology)

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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.

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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.

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9783319892399: Multibiometric Watermarking with Compressive Sensing Theory: Techniques and Applications (Signals and Communication Technology)

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ISBN 10:  3319892398 ISBN 13:  9783319892399
Verlag: Springer, 2019
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Thanki, Rohit M.
ISBN 10: 3319731823 ISBN 13: 9783319731827
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XXI, 172 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Signals and Communication Technology. Sprache: Englisch. Artikel-Nr. 7373GB

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783319731827

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Buch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 196 pp. Englisch. Artikel-Nr. 9783319731827

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Thanki, Rohit M.; Dwivedi, Vedvyas J.; Borisagar, Komal R.
Verlag: Springer, 2018
ISBN 10: 3319731823 ISBN 13: 9783319731827
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Thanki, Rohit M. (Author)/ Dwivedi, Vedvyas J. (Author)/ Borisagar, Komal R. (Author)
Verlag: Springer, 2018
ISBN 10: 3319731823 ISBN 13: 9783319731827
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Hardcover. Zustand: Brand New. 193 pages. 9.25x6.10x0.71 inches. In Stock. Artikel-Nr. x-3319731823

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