Details

Introduction.- Part I – New Methods in Biometrics.- Deep Biometrics: A Robust Approach to Biometrics in Big Data Issues.- Multimodal Biometric Fusion via Ensemble Learning.- Fuzzy Logic for Precise Biometric Systems.- Hierarchical Biometric Verification with Sparse Features.- Dynamic Programming for Biometric Verification.- Part II – New Advances in Various Biometric Technologies.- Paleographic Handwriting Analysis for Author Identification.- Palmprints versus Fingerprints: Rivals or Friends?.- A Survey on Soft Biometrics for Forensic Analysis.- Robust Biometric Verification with Low Quality Data.- Streamed Biometric Verification for Big Data Challenge.- Privacy-Protected Biometric Verification for Security Applications.- Part III – New Applications using Biometrics.- Biometric Key Generation using Fuzzy Extractor for Mobile Banking.- Securing Electronic Medical Records Using Biometric Authentication.- Body Biometrics from MRI Images for Medicine Advice.- Identify Invisible Persons inSocial Network.- From Memory to Human Recognition in Cognitive Robots.</p>

<p><b>Richard Jiang</b> is a Lecturer in the department of Computer Science and Digital Technologies, Northumbria University, Newcastle upon Tyne, UK. He received his PhD in Computer Science from Queen’s University Belfast, Belfast, UK, in July 2008. After his PhD study, he has been working in Brunel Univ., Loughborough Univ., Swansea Univ., Univ. of Bath and Univ. of Sheffield. His research interests mainly reside in the fields of Artificial Intelligence, Man-Machine Interaction, Visual Forensics, and Biomedical Image Analysis. His research has been funded by EPSRC, BBSRC, TSB, EU FP, and industry funds, and he has authored and coauthored more than 40 publications.</p><p><b>Danny Crookes</b>&nbsp;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.&nbsp;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.<br></p>

<p><b>Ahmed Bouridane</b> 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 the Ph.D. degree in electrical engineering (computer vision) from the University of Nottingham, U.K., in 1992. From 1992 to 1994, he worked as a Research Developer in telesurveillance and access control applications. In 1994, he joined Queen’s University Belfast, Belfast, U.K., initially as Lecturer in computer architecture and image processing and then as a Reader in computer science. He became a Professor in Image Engineering and Security at Northumbria University at Newcastle (U.K.) in 2009. His research interests are in imaging for forensics and security, biometrics, homeland security, image/video watermarking and cryptography. He has authored and co-authored more than 200 publications.</p>

<p><b>Somaya Al-Maadeed</b> 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.</p>

<p><b>Azeddine Beghdadi </b>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.</p>

<p><br></p><p></p>

<p>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.</p>

Includes advances on biometric recognition and fusion, such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning; Addresses new challenges arising from big data, low-quality data and multi-spectral data; Introduces new biometric topics such as acoustic biometrics, EOG/ECG, vein patterns, mobile biometrics and cyber security. Includes supplementary material: sn.pub/extras