Multimodal Biometric Systems (PDF)
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,...
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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.
Prof. (Dr.) Rashmi Gupta is a Professor in the Electronics and Communication Engineering Department, NetaJi Subhas Institute of Technology (Formerly Ambedkar Institute of Advanced Communication Technologies and Research), Govt. of NCT of Delhi, India. She is also holding a position of Founder Director of Incubation Center AIACTR-IRF funded by Delhi Govt. Prior to this she worked in industry for eight years and also has nineteen years of teaching experience. She earned her M.E. and Ph.D. degrees in Electronics and Communication Engineering from Delhi College of Engineering, Delhi University. She has also organized International conference sessions, Faculty development Programmes, workshops and industrial meet in her experience. She delivered expert talks in International Conferences and FDPs. Prof. Gupta is associated with many International research organizations as editorial board member and reviewer. She has authored over 85 research papers in various renowned international journal and conferences. She is Fellow member of IETE and senior member of IEEE. Her primary research interests are machine learning, computer vision, signal and image processing.
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.
- 2021, 1. Auflage, 166 Seiten, Englisch
- Herausgegeben: Rashmi Gupta, Manju Khari
- Verlag: Taylor & Francis
- ISBN-10: 1000453774
- ISBN-13: 9781000453775
- Erscheinungsdatum: 26.09.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 14 MB
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