
Multimodal Biometric Systems
Description
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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.
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Persons
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Dr. Manju Khari is an Associate Professor in Jawaharlal Nehru University, New Delhi, prior to this university she worked with Netaji Subhas University of Technology, East Campus, formerly Ambedkar Institute of Advanced Communication Technology and Research, Under Govt. Of NCT Delhi. Her Ph.D. in Computer Science and Engineering from National Institute Of Technology Patna and She received her master's degree in Information Security . She has 80 published papers in refereed National/International Journals and Conferences (viz. IEEE, ACM, Springer, Inderscience, and Elsevier), 10 book chapters in a Springer, CRC press, IGI Global, Auerbach. She is also co-author of two books published by NCERT of XI and XII and co-editor in 10 edited books. She has also organized 05 International conference sessions, 03 Faculty development Programme, 01 workshop, 01 industrial meet in her experience. She delivered an expert talk, guest lecturers in International Conference and a member of reviewer/technical program committee in various International Conferences. Besides this, she associated with many International research organizations as Associate Editor/ Guest Editor of Springer, Wiley and Elsevier books, and a reviewer for various International Journal.
Content
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.
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