| 書目名稱 | Multibiometric Watermarking with Compressive Sensing Theory |
| 副標題 | Techniques and Appli |
| 編輯 | Rohit M. Thanki,Vedvyas J. Dwivedi,Komal R.‘Borisa |
| 視頻video | http://file.papertrans.cn/641/640180/640180.mp4 |
| 概述 | Provides a complete review of multibiometric watermarking techniques in spatial, transform, and hybrid domains.Presents a secure multibiometric watermarking with Compressive Sensing (CS) theory to pre |
| 叢書名稱 | Signals and Communication Technology |
| 圖書封面 |  |
| 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.. |
| 出版日期 | Book 2018 |
| 關(guān)鍵詞 | Speech Watermarking; Speech Compression; Watermark techniques for Speech Signals; copyright protection |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-73183-4 |
| isbn_softcover | 978-3-319-89239-9 |
| isbn_ebook | 978-3-319-73183-4Series ISSN 1860-4862 Series E-ISSN 1860-4870 |
| issn_series | 1860-4862 |
| copyright | Springer International Publishing AG 2018 |
|Archiver|手機版|小黑屋|
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