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Multibiometric Watermarking with Compressive Sensing Theory Techniques and Applications

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., Dwivedi, Vedvyas J. (Author), Borisagar, Komal R. (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2018, 2018
Edition:1st ed. 2018
Series:Signals and Communication Technology
Subjects:
Computational Linguistics
Database Management
Signal, Speech And Image Processing
Natural Language Processing (nlp)
Signal Processing
Natural Language Processing (computer Science)
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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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