The Biometric Computing
Recognition and Registration
1st Edition
Published on 5. November 2019
304 pages
978-1-351-01341-3 (ISBN)
Description
"The Biometric Computing: Recognition & Registration" presents introduction of biometrics along with detailed analysis for identification and recognition methods. This book forms the required platform for understanding biometric computing and its implementation for securing target system. It also provides the comprehensive analysis on algorithms, architectures and interdisciplinary connection of biometric computing along with detailed case-studies for newborns and resolution spaces. The strength of this book is its unique approach starting with how biometric computing works to research paradigms and gradually moves towards its advancement. This book is divided into three parts that comprises basic fundamentals and definitions, algorithms and methodologies, and futuristic research and case studies.
Features:
A clear view to the fundamentals of Biometric Computing
Identification and recognition approach for different human characteristics
Different methodologies and algorithms for human identification using biometrics traits such as face, Iris, fingerprint, palm print, voiceprint etc.
Interdisciplinary connection of biometric computing with the fields like deep neural network, artificial intelligence, Internet of Biometric Things, low resolution face recognition etc.
This book is an edited volume by prominent invited researchers and practitioners around the globe in the field of biometrics, describes the fundamental and recent advancement in biometric recognition and registration. This book is a perfect research handbook for young practitioners who are intending to carry out their research in the field of Biometric Computing and will be used by industry professionals, graduate and researcher students in the field of computer science and engineering.
Features:
A clear view to the fundamentals of Biometric Computing
Identification and recognition approach for different human characteristics
Different methodologies and algorithms for human identification using biometrics traits such as face, Iris, fingerprint, palm print, voiceprint etc.
Interdisciplinary connection of biometric computing with the fields like deep neural network, artificial intelligence, Internet of Biometric Things, low resolution face recognition etc.
This book is an edited volume by prominent invited researchers and practitioners around the globe in the field of biometrics, describes the fundamental and recent advancement in biometric recognition and registration. This book is a perfect research handbook for young practitioners who are intending to carry out their research in the field of Biometric Computing and will be used by industry professionals, graduate and researcher students in the field of computer science and engineering.
More details
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Product notice
Reflowable
Illustrations
53 Tables, black and white; 168 Illustrations, black and white
ISBN-13
978-1-351-01341-3 (9781351013413)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
11/2019
1st Edition
CRC Press
€204.30
Shipment within 15-20 days
Persons
Prof. Karm Veer Arya did his Master in Electrical Engineering from Indian Institute of Science (IISc) Bangalore, India and earned PhD in Computer Science & Engineering from Indian Institute of Technology Kanpur (IITK), Kanpur, India. His research area includes Image Processing, Biometrics, Information Security, Wireless Adhoc Networks, and Secure Image Transmission. Currently, he is working as a Professor in the department of Computer Science & Engineering at the Institute of Engineering & Technology (IET), Lucknow, and as Dean of PG Studies and Research, AKTU Lucknow, Uttar Pradesh, India. He has published more than 150 papers in international journals and peer reviewed conferences around the world. He has guided 08 Ph D and 80 Masters thesis. He is on the Editorial board of many International journals. He is the member of organizing committee and programme committee for various national and international conferences and workshops. He has edited the Proceedings of International Conference on Industrial & Information Systems (ICIIS2014) held on 15th-17th, Dec. 2014 at Gwalior, India. Prof. Arya has co-authored a book titled "Routing in Wireless Sensor Networks: A Clustering based Approach" (LAP LAMBART, Germany). He is Senior Member of IEEE (USA), Fellow of IETE (INDIA), Member of ACM and life member of ISTE (INDIA).
Dr Robin Singh Bhadoria has completed his PhD from Indian Institute of Technology (IIT) Indore, India in the year 2018. His research interests are Data Mining, Frequent Pattern Mining, Cloud Computing, Service-Oriented Architecture, Wireless Sensor Network and Internet of Things. He has completed his Bachelor and Master of Technology in the discipline of Computer Science & Engineering from Rajiv Gandhi Technological University, Bhopal, India. Currently, he is working as Assistant Professor, in the Department of Computer Science & Engineering at Indian Institute of Information Technology (IIIT) Bhopal, India. He has published more than 60 articles at international journals and peer reviewed conferences around the world with the reputed publishers like IEEE, Elsevier and Springer that also includes the book chapters. Presently, he is serving as associate editor for International Journal of Computing, Communications and Networking (IJCCN) ISSN 2319 - 2720. He is also serving as editorial board member for different journals in globe. Presently, he is a professional member for different professional research bodies like IEEE (USA), IAENG (Hong-Kong), Internet Society, Virginia (USA), IACSIT (Singapore).
Dr Robin Singh Bhadoria has completed his PhD from Indian Institute of Technology (IIT) Indore, India in the year 2018. His research interests are Data Mining, Frequent Pattern Mining, Cloud Computing, Service-Oriented Architecture, Wireless Sensor Network and Internet of Things. He has completed his Bachelor and Master of Technology in the discipline of Computer Science & Engineering from Rajiv Gandhi Technological University, Bhopal, India. Currently, he is working as Assistant Professor, in the Department of Computer Science & Engineering at Indian Institute of Information Technology (IIIT) Bhopal, India. He has published more than 60 articles at international journals and peer reviewed conferences around the world with the reputed publishers like IEEE, Elsevier and Springer that also includes the book chapters. Presently, he is serving as associate editor for International Journal of Computing, Communications and Networking (IJCCN) ISSN 2319 - 2720. He is also serving as editorial board member for different journals in globe. Presently, he is a professional member for different professional research bodies like IEEE (USA), IAENG (Hong-Kong), Internet Society, Virginia (USA), IACSIT (Singapore).
Content
Part I: The Biometric Computing - Fundamentals & Definitions. Acquisition and Computation for Data in Biometric System. Advances in Unconstrained Handprint Biometrics. Voiceprint Based Biometric Template Identifications. Behavioral Biometrics: A Prognostic Measure For Activity Recognition. Finger Biometric Recognition with Feature Selection. Part II: The Biometric Computing - Algorithms & Methodologies. Iris Recognition Systems in Non-Cooperative Environment. Slap Fingerprint Authentication and its Limitations. The Reality of People Re-Identification Task, Where We Are And Where We Are Going: A Review. Optimization of SVM Based Hand Gesture Recognition System Using Particle Swarm Optimization and Plant Growth Algorithm. Internet of Biometric Things: Standardization Activities and Frameworks. Part III: The Biometric Computing - Futuristic Research & Case Studies. Deep Neural Networks For Biometric Identification Based On Non-Intrusive ECG Acquisitions. Recent Advances in Biometric Recognition for Newborns. Paradigms of Artificial Intelligence in Biometric Computing. Face recognition in Low-Resolution Space
