Biometric Security and Privacy / Signal Processing for Security Technologies (PDF)
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This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as quality issue, biometric template protection, and anti-spoofing. The book also focuses on several emerging topics such as big data issues, mobile biometrics and multispectral biometrics, and includes a number of new biometrics such as vein pattern, acoustic biometrics, eye-blinking EOG, ECG, gait and handwriting. Authors also show how to use biometrics in cyber security applications and its relevant legal matters under EU legislation. The contributors cover the topics, their methods, and their applications in depth.
Danny Crookes was appointed to the Chair of Computer Engineering in 1993 at Queens University Belfast, and was Head of Computer Science from 1993 to 2002. He is Director of Research for Speech, Image and Vision Systems at the Institute for Electronics, Communications and Information Technology (ECIT) at Queens University Belfast. His current research interests include the use of novel architectures (especially GPUs) for high-performance image processing. He has applied expertise in language design, optimizing compilers and software generators, plus software tools for hardware description and architecture generation, to the goal of developing high level software tools to enable rapid development of real-time video processing systems. He is currently involved in projects in automatic shoeprint recognition (ESPRC), speech separation and enhancement (EPSRC) and processing of 4D confocal microscopy imagery (sponsored by INI and Andor Technologies). He has published over 200 scientific papers in journals and international conferences, and has presented tutorials on parallel image processing at several international conferences.
Ahmed Bouridane received the M.Phil. degree in electrical engineering (VLSI design for signal processing) from the University of Newcastle-Upon-Tyne, U.K., in 1988, and
Somaya Al-Maadeed received her PhD in computer science from Nottingham University, UK in 2004. Following her PhD, she works as an assistant professor (Qatar University), where she did research in the areas of biometrics and computer vision and image processing. She is a senior member of IEEE. Dr. Sumaya is leading the Computer Vision and Image Processing group at Qatar University. She has more than six years working experience in the Biometric and Forensic Lab at Ministry of Interior.
Azeddine Beghdadi is Full Professor at the University of Paris 13 (Institut Galilée) Sorbonne Paris Cite and the director of L2TI laboratory. He received Maitrise in Physics and Diplôme d'Etudes Approfondies in Optics and Signal Processing from University Orsay-Paris XI and the PhD in Physics (Specialism: Optics and Signal Processing) from University Paris 6. He published over than 240 international refereed scientific papers. He is a founding member of the L2TI laboratory. His research interests include image quality enhancement and assessment, image and video compression, bio-inspired models for image analysis and processing, and physics-based image analysis. He is the founder and Co-Chair of the European Workshop on Visual Information Processing (EUVIP). He served as conference chair and technical chair of many international conferences. He also served as session organizer and a member of the organizing and technical committees for many IEEE conferences. Dr Beghdadi is a member of the editorial board of Signal Processing (Elsevier) and member of the editorial board of the Scientific World Journal Signal Processing (Hindawi Publisher). Dr Beghdadi is a Senior member of IEEE EURASIP member and member of the IEEE-MMTC.
- 2016, 2017, 424 Seiten, Englisch
- Herausgegeben: Richard Jiang, Somaya Al-maadeed, Ahmed Bouridane, Danny Crookes, Azeddine Beghdadi
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319473018
- ISBN-13: 9783319473017
- Erscheinungsdatum: 21.12.2016
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- Dateiformat: PDF
- Größe: 12 MB
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