Multibiometric Watermarking with Compressive Sensing Theory Techniques and Applications /

• Κύριοι συγγραφείς: Thanki, Rohit M. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Dwivedi, Vedvyas J. (http://id.loc.gov/vocabulary/relators/aut), Borisagar, Komal R. (http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Signals and Communication Technology,
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Computational linguistics.; Natural language processing (Computer science).; Database management.; Signal, Image and Speech Processing.; Computational Linguistics.; Natural Language Processing (NLP).; Database Management.

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...

Πίνακας περιεχομένων:

• 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.