Multibiometrics for Human Identification

Bir Bhanu, Venu Govindaraju

• Publisher: Cambridge University Press
• Year: 2011
• Print ISBN: 9780521115964
• eBook ISBN: 9781139097963
• Topic: Computer Science
• Subtopic: Computer Graphics
• Index: Computer Science

In today's security-conscious society, real-world applications for authentication or identification require a highly accurate system for recognizing individual humans. The required level of performance cannot be achieved through the use of a single biometric such as face, fingerprint, ear, iris, palm, gait or speech. Fusing multiple biometrics enables the indexing of large databases, more robust performance and enhanced coverage of populations. Multiple biometrics are also naturally more robust against attacks than single biometrics. This book addresses a broad spectrum of research issues on multibiometrics for human identification, ranging from sensing modes and modalities to fusion of biometric samples and combination of algorithms. It covers publicly available multibiometrics databases, theoretical and empirical studies on sensor fusion techniques in the context of biometrics authentication, identification and performance evaluation and prediction.

Table of contents

• Cover
• Multibiometrics for Human Identification
• Title
• Copyright
• Contents
• List of Contributors
• Preface
• Introduction
• PART I: Multimodal and Multisensor Biometric Systems
• PART II: Fusion Methods in Multibiometric Systems
• PART III: Hybrid Biometric Systems
• PART IV: Databases and Security
• PART V: Performance of Multibiometric Systems
• Color Plates