Multimodal Biometric Systems (eBook, PDF)

Security and Applications
Redaktion: Gupta, Rashmi; Khari, Manju

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 166
• Erscheinungstermin: 26. September 2021
• Englisch
• ISBN-13: 9781000453775
• Artikelnr.: 62446384

Inhaltsangabe

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.