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.
Series
Edition
Language
Place of publication
Publishing group
Target group
Professional and scholarly
Research
Illustrations
68 farbige Abbildungen
XV, 275 p. 68 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 22 mm
Weight
ISBN-13
978-3-540-49344-0 (9783540493440)
DOI
10.1007/978-3-540-49346-4
Schweitzer Classification
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.
