Multibiometric Watermarking with Compressive Sensing Theory

£44.99

Multibiometric Watermarking with Compressive Sensing Theory

Techniques and Applications

Computational and corpus linguistics Electronics engineering Databases Natural language and machine translation Digital signal processing (DSP)

Authors: Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar

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Collection: Signals and Communication Technology

Language: English

Published by: Springer

Published on: 2nd January 2018

Format: LCP-protected ePub

Size: 4 Mb

ISBN: 9783319731834


Introduction

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.

Key Features

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.

Potential Applications

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.

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