The Biometric Computing

Recognition and Registration
Herausgeber: Arya, Karm Veer; Bhadoria, Robin Singh

• Gebundenes Buch

Produktbeschreibung

This book will help students of Computer Science and Information Science to get a better understanding of Biometric Computing and its related analysis for identification and recognition. It provides information on biometric traits such as fingerprint, face recognition, palmprint, Iris scan etc.

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Produktdetails

• Verlag: Taylor & Francis Inc
• Seitenzahl: 290
• Erscheinungstermin: 21. November 2019
• Englisch
• Abmessung: 184mm x 262mm x 19mm
• Gewicht: 740g
• ISBN-13: 9780815393641
• ISBN-10: 0815393644
• Artikelnr.: 58343061

Autorenporträt

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).

Inhaltsangabe

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