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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Detaylı Bibliyografya
Asıl Yazarlar: Thanki, Rohit M. (Yazar), Dwivedi, Vedvyas J. (Yazar), Borisagar, Komal R. (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2018.
Imprint: Springer,
Edisyon:1st ed. 2018.
Seri Bilgileri:Signals and Communication Technology,
Konular:
Signal processing.
Computational linguistics.
Natural language processing (Computer science).
Database management.
Signal, Speech and Image Processing.
Computational Linguistics.
Natural Language Processing (NLP).
Database Management.
Online Erişim:Full-text access
İçindekiler:
  • 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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