Multibiometric Watermarking with Compressive Sensing Theory Techniques and Applications

Multibiometric Watermarking with Compressive Sensing Theory Techniques and Applications / by Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar.

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 Sen...

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Bibliographic Details
Main Authors: Thanki, Rohit M. (Author), Dwivedi, Vedvyas J. (Author), Borisagar, Komal R. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Signals and Communication Technology,
Springer eBook Collection.
Subjects:
Signal processing.
Image processing.
Speech processing systems.
Computational linguistics.
Natural language processing (Computer science).
Database management.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of 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.

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