Biometric Identification Technologies Based on Modern Data Mining Methods - Hardcover

Hardcover

ISBN 10: 3030483770 ISBN 13: 9783030483777

Publisher: Springer, 2020

Synopsis

This book emphasizes recent advances in the creation of biometric identification systems for various applications in the field of human activity. The book displays the problems that arise in modern systems of biometric identification, as well as the level of development and prospects for the introduction of biometric technologies. The authors classify biometric technologies into two groups, distinguished according to the type of biometric characteristics used. The first group uses static biometric parameters: fingerprints, hand geometry, retina pattern, vein pattern on the finger, etc. The second group uses dynamic parameters for identification: the dynamics of the reproduction of a signature or a handwritten keyword, voice, gait, dynamics of work on the keyboard, etc. The directions of building information systems that use automatic personality identification based on the analysis of unique biometric characteristics of a person are discussed. The book is intended for professionals working and conducting research in the field of intelligent information processing, information security, and robotics and in the field of real-time identification systems. The book contains examples and problems/solutions throughout.

About this title

About the Author

Dr. Stepan Bilan received PhD in 1990 in the field of computer systems and components from Vinnitsa Polytechnic Institute, Faculty of Automatization and Computer science. He has been working in the Vinnytsia State Technical University (now the Vinnytsia National Technical University) since 1990. In 1998 he was awarded the academic title of an assistant professor of Computer Science. From 2003 to 2017, he worked in State Economy and Technology University of Transport (Kiev, Ukraine) as Professor at the Department of Telecommunication technologies and automatics. He supervised many masters and PhD students in Computer Sciences. His research interests include Artificial intelligence, image processing, and recognition, information security, cellular automata, biometric identification, pseudorandom sequence generation devices. In these research points, he has more than 50 international publications. Currently, he is working as Associate Professor at the StateUniversity of Infrastructure and Technology, Ukraine. 

Dr. Mohamed Elhoseny is currently an Assistant Professor at the Faculty of Computers and Information, Mansoura University and a researcher at CoVIS Lab, Department of Computer Science and Engineering, University of North Texas. Collectively, Dr.Elhoseny authored/co-authored over 100 ISI Journal articles (with total Impact Factor 147.6), Conference Proceedings, Book Chapters, and 5 books published by Springer and Taylor& Francis. His research interests include Network Security, Cryptography, Machine Learning Techniques, Internet of Things, and Quantum Computing.  Dr.Elhoseny serves as the Editor-in-Chief of International Journal of Smart Sensor Technologies and Applications, IGI Global. Besides, he is an Associate Editor of several journals such as IEEE Access (Impact Factor 3.5), IEEE Future Directions, PLOS One journal (Impact Factor 2.7), Remote Sensing (Impact Factor 3.5), and International Journal of E-services and Mobile Applications, IGI Global (Scopus Indexed). Also, he is an Editorial Board member in several journals such as Applied Intelligence, Springer (Impact Factor 1.9). Dr.Elhoseny guest-edited several special issues at many journals published by IEEE, Elsevier, Hindawi, Springer, Inderscience, and MDPI. Moreover, he served as the co-chair, the publication chair, the program chair, and a track chair for several international conferences published by IEEE and Springer.

Dr . D. Jude Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing. He has authored more than 100 research papers in reputed SCIE indexed/Scopus indexed International Journals and International Conferences with leading publishers such as Elsevier, Springer, IEEE, etc. His Cumulative Impact Factor is more than 75. He has authored 1 book with (VDM-Verlag, Germany) and 21 edited books with reputed publishers such as Elsevier, Springer, IET and IOS Press. He has been serving as Associate Editor of SCIE Indexed International Journals such as IEEE Access Journal (IEEE) and Journal of Intelligent and fuzzy systems (IOS Press). He serves as an Editorial Board member/Guest Editor of many journals with leading publishers such as Springer (Sensing and Imaging) and Inderscience (IJAIP, IJICT, IJCVR, IJBET). He is the series editor of “Biomedical Engineering” book series in Elsevier. He has been also the organizing committee member of several international conferences across the globe such as Portugal, Romania, UK, Egypt, China, etc. He has delivered more than 50 Invited Lectures in International Conferences/workshops. He holds professional membership with IEEE Technical Committee on Neural Networks (IEEE Computational Intelligence Society) and IEEE Technical Committee on Soft Computing (IEEE Systems, Man and Cybernatics Society). He has completed 1 funded research project from CSIR, Govt. of India. He also serves as the “Research Scientist” of Computational Intelligence and Information Systems (CI2S) Lab, Argentina and RIADI Lab, Tunisia. Currently, he is working as Associate Professor in Department of ECE, Karunya University, Coimbatore, India.

From the Back Cover

This book emphasizes recent advances in the creation of biometric identification systems for various applications in the field of human activity. The book displays the problems that arise in modern systems of biometric identification, as well as the level of development and prospects for the introduction of biometric technologies. The authors classify biometric technologies into two groups, distinguished according to the type of biometric characteristics used. The first group uses static biometric parameters: fingerprints, hand geometry, retina pattern, vein pattern on the finger, etc. The second group uses dynamic parameters for identification: the dynamics of the reproduction of a signature or a handwritten keyword, voice, gait, dynamics of work on the keyboard, etc. The directions of building information systems that use automatic personality identification based on the analysis of unique biometric characteristics of a person are discussed. The book is intended for professionals working and conducting research in the field of intelligent information processing, information security, and robotics and in the field of real-time identification systems. The book contains examples and problems/solutions throughout.

• Presents recent advances in the creation of biometric identification systems for various applications;
• Classifies biometrics into two groups - static and dynamic - and discusses developing for each;
• Relevant for students, researchers, and professionals in intelligent information processing, security, and robotics.

Edition details

• Publisher: Springer
• Publication date: 2020
• Language: English
• ISBN 10: 3030483770
• ISBN 13: 9783030483777
• Binding: Hardcover
• Edition number: 1
• Number of pages: 210
• Editor: Bilan Stepan, Elhoseny Mohamed, Hemanth D. Jude