Biometrics (eBook)

Theory, Methods, and Applications
eBook Download: PDF
2009 | 1. Auflage
762 Seiten
Wiley (Verlag)
978-0-470-52234-9 (ISBN)

Lese- und Medienproben

Biometrics -
Systemvoraussetzungen
152,99 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
Edited by a panel of experts, this book fills a gap in the existing literature by comprehensively covering system, processing, and application aspects of biometrics, based on a wide variety of biometric traits. The book provides an extensive survey of biometrics theory, methods,and applications, making it an indispensable source of information for researchers, security experts, policy makers, engineers, practitioners, and graduate students. The book's wide and in-depth coverage of biometrics enables readers to build a strong, fundamental understanding of theory and methods, and provides a foundation for solutions to many of today s most interesting and challenging biometric problems. Biometric traits covered:Face, Fingerprint, Iris, Gait, Hand Geometry, Signature, Electrocardiogram (ECG), Electroencephalogram (EEG), physiological biometrics. Theory, Methods and Applications covered:Multilinear Discriminant Analysis, Neural Networks for biometrics, classifier design, biometric fusion, Event-Related Potentials, person-specific characteristic feature selection, image and video-based face, recognition/verification, near-infrared face recognition, elastic graph matching, super-resolution of facial images, multimodal solutions, 3D approaches to biometrics, facial aging models for recognition, information theory approaches to biometrics, biologically-inspired methods, biometric encryption, decision-making support in biometric systems, privacy in biometrics.

Nikolaos V. Boulgouris, PhD, is a Senior Lecturer in the Department of Electronic Engineering at King's College London. Dr. Boulgouris has participated in several research projects in the areas of biometrics, pattern recognition, security, and multimedia communications. He has published more than fifty scientific articles in refereed journals and conference proceedings. He is a Senior Member of the IEEE and has served as an associate editor (2007-2010) for the IEEE Signal Processing Letters. Konstantinos N. Plataniotis, PhD, is a Professor in the University of Toronto's Edward S. Rogers Sr. Department of Electrical & Computer Engineering. His research interests are in biometrics, communications systems, image and signal processing, multimedia systems, and pattern recognition. He is a registered professional engineer in Ontario and the Editor in Chief (2009-2011) for the IEEE Signal Processing Letters. He has contributed to fifteen books and has published more than 300 papers in refereed journals and conference proceedings. Evangelia Micheli-Tzanakou, PhD, is Professor II and Director of the Computational Intelligence Laboratories in the Department of Biomedical Engineering at Rutgers University. She established the first-ever experimental Brain to Computer Interface. She is the recipient of many awards and has published over 300 scientific papers. An IEEE Fellow, she has served in many positions including the IEEE Board of Directors, president of the Computational Intelligence Society, Chair of the IEEE Awards Board, and recently as the IEEE VP of Educational Activities.

Preface.

Contributors.

1. Discriminant Analysis for Dimensionality Reduction: AnOverview of Recent Developments (Jieping Ye and ShuiwangJi).

2. A Taxonomy of Emerging Multilinear Discriminant AnalysisSolutions for Biometric Signal Recognition (Haiping Lu,Konstantinos N. Plataniotis, and Anastasios N.Venetsanopoulos).

3. A Comparative Survey on Biometric Identity AuthenticationTechniques Based on Neural Networks (Raghudeep Kannavara andNikolaos Bourbakis).

4. Designing Classifiers for Fusion-Based BiometricVerification (Kritha Venkataramani and B. V. K. VijayaKumar).

5. Person-Specific Characteristic Feature Selection for FaceRecognition (Sreekar Krishna, Vineeth Balasubramanian, JohnBlack, and Sethuraman Panchanathan).

6. Face Verification Based on Elastic Graph Matching(Anastasios Tefas and Ioannis Pitas).

7. Combining Geometrical and Statistical Models forVideo-Based Face Recognition (Amit K. Roy-Chowdhury andYilei Xu).

8. A Biologically Inspired Model for the SimultaneousRecognition of Identity and Expression (Donald Neth andAleix M. Martinez).

9. Multimodal Biometrics Based on Near-Infrared FaceRecognition (Rui Wang, Shengcai Liao, Zhen Lei, and Stan Z.Li).

10. A Novel Unobtrusive Face and Hand Geometry AuthenticationSystem Based on 2D and 3D Data (Filareti Tsalakanidou andSotiris Malassiotis).

11. Learning Facial Aging Models: A Face RecognitionPerspective (Narayanan Ramanathan and RamaChellappa).

12. Super-Resolution of Face Images (Sung Won Park andMarios Savvides).

13. Iris Recognition (Yung-Hui Li and MariosSavvides).

14. Learning in Fingerprints (Alessandra Lumini, LorisNanni, and Davide Maltoni).

15. A Comparison of Classification- and Indexing-BasedApproaches for Fingerprint Identification (Xuejun Tan, BirBhanu, and Rong Wang).

16. Electrocardiogram (ECG) Biometric for RobustIdentification and Secure Communication (Francis MinhthangBui, Foteini Agrafioti, and Dimitrios Hatzinakos).

17. The Heartbeat: The Living Biometric (Steven A.Israel, John M. Irvine, Brenda K. Wiederhold, and Mark D.Wiederhold).

18. Multimodal Physiological Biometrics Authentication(Alessandro Riera, Aureli Soria-Frisch, Mario Caparrini, IvanCester, and Giulio Ruffini).

19. A Multiresolution Analysis of the Effect of FaceFamiliarity on Human Event-Related Potentials (Brett DeMarcoand Evangelia Micheli-Tzanakou).

20. On-Line Signature-Based Authentication: Template SecurityIssues and Countermeasures (Patrizio Campisi, EmanueleMaiorana, and Alessandro Neri).

21. Unobtrusive Biometric Identification Based on Gait(Xiaxi Huang and Nikolaos V. Boulgouris).

22. Distributed Source Coding for Biometrics: A Case Study onGait Recognition (Savvas Argyropoulos, DimosthenisIoannidis, Dimitrios Tzovaras, and Michael G. Strintzis).

23. Measuring Information Content in Biometric Features(Richard Youmaran and Andy Adler).

24. Decision-Making Support in Biometric-Based PhysicalAccess Control Systems: Design Concept, Architecture, andApplications (Svetlana N. Yanushkevich, Vlad P. Shmerko,Oleg Boulanov, and Adrian Stoica).

25. Privacy in Biometrics (Stelvio Cimato, MarcoGamassi, Vincenzo Piuri, Roberto Sassi, and Fabio Scotti).

26. Biometric Encryption: The New Breed of UntraceableBiometrics (Ann Cavoukian and Alex Stoianov).

Index.

"The volume will have a great influence on the study of the subject. Exhaustively researched and presented with exemplary balance in presenting what is needed at the moment, the creation of this book is fully worthy of its demanding subject. No future evaluation or study or survey of biometrics theory, methods, and applications will be able to ignore this remarkable achievement in 500 pages in 26 chapters that will endure and will have impact on every aspect of the study of biometrics .....a reality that the authors powerfully communicate to researchers, security experts, policy makers, engineers, and graduate students. The editors' good sense, tact and balance in accomplishing their task are deeply impressive." (Current Engineering Practice, 2011)

"Filling a gap in the existing literature by comprehensively covering system, processing, and application aspects of biometrics, based on a wide variety of biometric traits, the book provides an extensive survey of biometrics theory, methods, and applications, making it an indispensable source of information for researchers, security experts, policy makers, engineers, practitioners, and graduate students. The book's wide and in-depth coverage of biometrics." (Current Engineering Practice, 2010)

Erscheint lt. Verlag 4.11.2009
Reihe/Serie IEEE Press Series on Computational Intelligence
Sprache englisch
Themenwelt Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte biometrics • Biometrie • Data Mining • Data Mining Statistics • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Intelligente Systeme u. Agenten • Intelligent Systems & Agents • Statistics • Statistik
ISBN-10 0-470-52234-8 / 0470522348
ISBN-13 978-0-470-52234-9 / 9780470522349
Haben Sie eine Frage zum Produkt?
PDFPDF (Adobe DRM)
Größe: 24,8 MB

Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine Adobe-ID und die Software Adobe Digital Editions (kostenlos). Von der Benutzung der OverDrive Media Console raten wir Ihnen ab. Erfahrungsgemäß treten hier gehäuft Probleme mit dem Adobe DRM auf.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine Adobe-ID sowie eine kostenlose App.
Geräteliste und zusätzliche Hinweise

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Praxis-Guide für Künstliche Intelligenz in Unternehmen - Chancen …

von Thomas R. Köhler; Julia Finkeissen

eBook Download (2024)
Campus Verlag
38,99
Wie du KI richtig nutzt - schreiben, recherchieren, Bilder erstellen, …

von Rainer Hattenhauer

eBook Download (2023)
Rheinwerk Computing (Verlag)
24,90