Multibiometric Watermarking with Compressive Sensing Theory: Techniques and Applications
โ Scribed by Rohit M. Thanki,Vedvyas J. Dwivedi,Komal R. Borisagar (auth.)
- Publisher
- Springer International Publishing
- Year
- 2018
- Tongue
- English
- Leaves
- 189
- Series
- Signals and Communication Technology
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Front Matter ....Pages i-xxi
Introduction (Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar)....Pages 1-18
Background Information and Related Works (Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar)....Pages 19-46
Issues in Biometric System and Proposed Research Methodology (Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar)....Pages 47-63
Multibiometric Watermarking Technique Using Discrete Wavelet Transform (DWT) (Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar)....Pages 65-89
Multibiometric Watermarking Technique Using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) (Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar)....Pages 91-113
Multibiometric Watermarking Technique Using Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) (Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar)....Pages 115-136
Multibiometric Watermarking Technique Using Fast Discrete Curvelet Transform (FDCuT) and Discrete Cosine Transform (DCT) (Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar)....Pages 137-160
Conclusions and Future Work (Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar)....Pages 161-163
Back Matter ....Pages 165-172
โฆ Subjects
Signal, Image and Speech Processing
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