Buch, Englisch, 166 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 245 g
Reihe: Internet of Everything (IoE)
Security and Applications
Buch, Englisch, 166 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 245 g
Reihe: Internet of Everything (IoE)
ISBN: 978-0-367-68557-7
Verlag: Taylor & Francis Ltd (Sales)
Many governments around the world are calling for the use of biometric systems to provide crucial societal functions, consequently making it an urgent area for action. The current performance of some biometric systems in terms of their error rates, robustness, and system security may prove to be inadequate for large-scale applications to process millions of users at a high rate of throughput.
This book focuses on fusion in biometric systems. It discusses the present level, the limitations, and proposed methods to improve performance. It describes the fundamental concepts, current research, and security-related issues. The book will present a computational perspective, identify challenges, and cover new problem-solving strategies, offering solved problems and case studies to help with reader comprehension and deep understanding.
This book is written for researchers, practitioners, both undergraduate and post-graduate students, and those working in various engineering fields such as Systems Engineering, Computer Science, Information Technology, Electronics, and Communications.
Zielgruppe
Academic, Professional, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
- Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
- Technische Wissenschaften Technik Allgemein Technik: Allgemeines
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
- Technische Wissenschaften Technik Allgemein Industrial Engineering
Weitere Infos & Material
Chapter 1.Deep Learning Based Computer Vision: Security, Application & Opportunities.
Chapter 2. Recognition of Foggy Image for Surveillance Application.
Chapter 3. FishNet: Automated Fish Species Recognition Network for Underwater Images.
Chapter 4. Person Identification in UAV Shot Videos by using Machine Learning.
Chapter 5. ECG Based Biometric Authentication Systems using Artificial Intelligence methods.
Chapter 6. False Media Detection by using Deep-Learning.
Chapter 7. Evaluation of Text-Summarization Technique.
Chapter 8. Smart Metro Ticket Management by using Biometric.
Chapter 9. Internet of things: Security Issues, Challenges and its Applications.
Chapter 10. Wireless sensor network for IoT based ECG monitoring system using NRF and LabVIEW.
Chapter 11. Towards Secure Deployment on the Internet of Robotic Things: Architecture, Applications, and Challenges.
