Multibiometric Watermarking with Compressive Sensing Theory: Techniques and Applications (Signals and Communication Technology)
暫譯: 多重生物識別水印技術與壓縮感知理論:技術與應用(信號與通信技術)
Rohit M. Thanki, Vedvyas J. Dwivedi, Komal R. Borisagar
- 出版商: Springer
- 出版日期: 2018-01-29
- 售價: $2,420
- 貴賓價: 9.5 折 $2,299
- 語言: 英文
- 頁數: 172
- 裝訂: Hardcover
- ISBN: 3319731823
- ISBN-13: 9783319731827
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商品描述
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.
商品描述(中文翻譯)
本書介紹了多重生物特徵水印技術,以確保生物特徵數據的安全性。本書還涵蓋了變換域的多重生物特徵水印技術及其優點和限制。作者開發了新穎的水印技術,結合了壓縮感知(Compressive Sensing, CS)理論,以確保生物特徵系統資料庫中的生物特徵數據安全。作者展示了這些技術如何提供更高的穩健性、真實性、更好的不可察覺性、增加的承載能力以及安全的生物特徵水印。他們展示了如何在將水印嵌入主生物特徵數據之前,利用CS理論來確保生物特徵水印的安全性。所提出的方法可能在各種銀行應用、生物特徵數據的實驗室進出控制、核電站、軍事基地和機場的安全性中找到潛在應用。