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

Mongi A. Abidi

ISBN 10: 3662500647 / ISBN 13: 9783662500644

Published by Springer Berlin Heidelberg, 2016

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This book provides an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems. 'Multi-sensory' refers to combining data from two or more biometric sensors, such as synchronized reflectance-based and temperature-based face images. 'Multi-modal' biometrics means fusing two or more biometric modalities, like face images and voice timber. This practical reference contains four distinctive parts and a brief introduction chapter. The first part addresses new and emerging face biometrics. Emphasis is placed on biometric systems where single sensor and single modality are employed in challenging imaging conditions. The second part on multi-sensory face biometrics deals with the personal identification task in challenging variable illuminations and outdoor operating scenarios by employing visible and thermal sensors. The third part of the book focuses on multi-modal face biometrics by integrating voice, ear, and gait modalities with facial data. The last part presents generic chapters on multi-biometrics fusion methodologies and performance prediction techniques.

Seller Inventory # 9783662500644

Bibliographic Details

• Title: Face Biometrics for Personal Identification : Multi-Sensory Multi-Modal Systems
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2016
• Language: English
• ISBN 10: 3662500647
• ISBN 13: 9783662500644
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 16D millimeters 235 millimeters width by 155 millimeters height by 16 millimeters depth
• Weight: 446 grams

About this title

Synopsis

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.

From the Back Cover

This book provides an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems. "Multi-sensory" refers to combining data from two or more biometric sensors, such as synchronized reflectance-based and temperature-based face images. "Multi-modal" biometrics means fusing two or more biometric modalities, like face images and voice timber. This practical reference contains four distinctive parts and a brief introduction chapter. The first part addresses new and emerging face biometrics. Emphasis is placed on biometric systems where single sensor and single modality are employed in challenging imaging conditions. The second part on multi-sensory face biometrics deals with the personal identification task in challenging variable illuminations and outdoor operating scenarios by employing visible and thermal sensors. The third part of the book focuses on multi-modal face biometrics by integrating voice, ear, and gait modalities with facial data. The last part presents generic chapters on multi-biometrics fusion methodologies and performance prediction techniques.