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Advances in Biometrics Modern Methods and Implementation Strategies / edited by G.R. Sinha.

Contributor(s): SpringerLink (Online service) | Sinha, G.R., editor literario
Material type: materialTypeLabelE-bookSeries: (Biomedical and Life Sciences (Springer-11642)).Publisher: Cham, Switzerland : Springer International Publishing, 2019Edition: First edition.Description: 1 recurso en línea (XIV, 355 páginas) : 234 ilustraciones, 153 ilustraciones a color.ISBN: 9783030304362.Subject: BiometríaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction -- Classification of Biometrics -- Computer Vision and Pattern Recognition Biometric Databases -- Machine Learning and Artificial Intelligence (AI) -- Design of Classifiers -- Cybersecurity and Biometrics -- New Algorithms and Technologies -- Cognitive Computing -- Usability and Testing Methods -- 3D Face Recognition -- Biometric Standards and Protocols -- Dimensionality Reduction -- Application and Case Studies -- Template Aging -- Biometric Template Security -- Soft Biometrics -- Social Impact of Biometric Technology -- Future Directions and Robustness.
In: Springer eBooksAbstract: This book provides a framework for robust and novel biometric techniques, along with implementation and design strategies. The theory, principles, pragmatic and modern methods, and future directions of biometrics are presented, along with in-depth coverage of biometric applications in driverless cars, automated and AI-based systems, IoT, and wearable devices. Additional coverage includes computer vision and pattern recognition, cybersecurity, cognitive computing, soft biometrics, and the social impact of biometric technology. The book will be a valuable reference for researchers, faculty, and practicing professionals working in biometrics and related fields, such as image processing, computer vision, and artificial intelligence. Highlights robust and novel biometrics techniques Provides implementation strategies and future research directions in the field of biometrics Includes case studies and emerging applications.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QH323.5 2019 EB (Browse shelf(Opens below)) Acceso electrónico eBook25022038
Total holds: 0

Introduction -- Classification of Biometrics -- Computer Vision and Pattern Recognition Biometric Databases -- Machine Learning and Artificial Intelligence (AI) -- Design of Classifiers -- Cybersecurity and Biometrics -- New Algorithms and Technologies -- Cognitive Computing -- Usability and Testing Methods -- 3D Face Recognition -- Biometric Standards and Protocols -- Dimensionality Reduction -- Application and Case Studies -- Template Aging -- Biometric Template Security -- Soft Biometrics -- Social Impact of Biometric Technology -- Future Directions and Robustness.

This book provides a framework for robust and novel biometric techniques, along with implementation and design strategies. The theory, principles, pragmatic and modern methods, and future directions of biometrics are presented, along with in-depth coverage of biometric applications in driverless cars, automated and AI-based systems, IoT, and wearable devices. Additional coverage includes computer vision and pattern recognition, cybersecurity, cognitive computing, soft biometrics, and the social impact of biometric technology. The book will be a valuable reference for researchers, faculty, and practicing professionals working in biometrics and related fields, such as image processing, computer vision, and artificial intelligence. Highlights robust and novel biometrics techniques Provides implementation strategies and future research directions in the field of biometrics Includes case studies and emerging applications.

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