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.
| ISBN: | 9783319731827 |
| Publication date: | 29th January 2018 |
| Author: | Rohit M Thanki, Vedvyas J Dwivedi, Komal R Borisagar |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 172 pages |
| Series: | Signals and Communication Technology |
| Genres: |
Electronics engineering Natural language and machine translation Digital signal processing (DSP) Computational and corpus linguistics Databases |
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.
Multibiometric Watermarking With Compressive Sensing Theory features in the following genres: Electronics engineering, Natural language and machine translation, Digital signal processing (DSP), Computational and corpus linguistics, Databases
Multibiometric Watermarking With Compressive Sensing Theory is available in Hardback
Multibiometric Watermarking With Compressive Sensing Theory was written by Rohit M Thanki, Vedvyas J Dwivedi, Komal R Borisagar and published by Springer an imprint of Springer International Publishing
Multibiometric Watermarking With Compressive Sensing Theory has 172 pages
Yes it is part of Signals and Communication Technology series