Multibiometric Watermarking with Compressive Sensing Theory Techniques and Applications /

• Main Authors: Thanki, Rohit M. (Author, 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)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Signals and Communication Technology,
• Subjects: 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...