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EBOOK
Author Thanki, Rohit M.,
Title Multibiometric watermarking with compressive sensing theory : techniques and applications / Rohit M. Thanki, Vyas J. Dwivedi, Komal R. Borisagar.
Imprint Cham, Switzerland : Springer, [2018]

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 OHIOLINK SPRINGER EBOOKS    ONLINE  
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Thanki, Rohit M.,
Series Signals and communication technology.
Signals and communication technology.
Subject Biometric identification.
Compressed sensing (Telecommunication)
Alt Name Dwivedi, Vyas J.,
Borisagar, Komal R.,
Description 1 online resource : illustrations.
polychrome rdacc
Bibliography Note Includes bibliographical references and index.
Contents 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.
Summary 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.
Note Online resource; title from PDF title page (EBSCO, viewed January, 10, 2018).
ISBN 9783319731834 (electronic bk.)
3319731831 (electronic bk.)
9783319731827
3319731823
ISBN/ISSN 10.1007/978-3-319-73183-4
OCLC # 1018307641
Additional Format Original 3319731823 9783319731827 (OCoLC)1013167960.


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