Face Biometrics for Personal Identification: Multi-Sensory Multi-Modal Systems

Author:   Besma Abidi ,  Mongi A. Abidi
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 2007
ISBN:  

9783662500644


Pages:   275
Publication Date:   22 October 2016
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Face Biometrics for Personal Identification: Multi-Sensory Multi-Modal Systems


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Overview

This book provides ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in biometrics. It offers students and software engineers a thorough understanding of how some core building blocks of a multi-biometric system are implemented. While the book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is on multi-sensory and multi-modal face biometrics algorithms and systems. The four main sections of the book address new and emerging face biometrics; the challenges of identification in variable light and outdoor operating scenarios; multi-modal face biometrics, integrating voice, ear, and gait modalities; and multi-biometric fusion methodologies.

Full Product Details

Author:   Besma Abidi ,  Mongi A. Abidi
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 2007
Dimensions:   Width: 15.50cm , Height: 1.60cm , Length: 23.50cm
Weight:   0.615kg
ISBN:  

9783662500644


ISBN 10:   3662500647
Pages:   275
Publication Date:   22 October 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Space/Time Emerging Face Biometrics.- Pose and Illumination Invariant Face Recognition Using Video Sequences.- Recognizing Faces Across Age Progression.- Quality Assessment and Restoration of Face Images in Long Range/High Zoom Video.- Core Faces: A Shift-Invariant Principal Component Analysis (PCA) Correlation Filter Bank for Illumination-Tolerant Face Recognition.- Multi-Sensory Face Biometrics.- Towards Person Authentication by Fusing Visual and Thermal Face Biometrics.- Multispectral Face Recognition: Fusion of Visual Imagery with Physiological Information.- Feature Selection for Improved Face Recognition in Multisensor Images.- Multimodal Face Biometrics.- Multimodal Face and Speaker Identification for Mobile Devices.- Quo Vadis: 3D Face and Ear Recognition?.- Human Recognition at a Distance in Video by Integrating Face Profile and Gait.- Generic Approaches to Multibiometric Systems.- Fusion Techniques in Multibiometric Systems.- Performance Prediction Methodology for Multibiometric Systems.

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