The "Handbook of Multibiometrics" is a comprehensive resource that explores the integration and fusion of multiple biometric traits for enhanced authentication and identification. Authored by Arun A. Ross, Karthik Nandakumar, and Anil K. Jain, the book is part of the International Series on Biometrics, edited by Professor David D. Zhang and Professor Anil K. Jain. The series aims to provide an international platform for researchers, professionals, and practitioners to share knowledge and exchange ideas in the field of biometrics. The handbook covers various aspects of multibiometrics, including the levels of fusion (sensor, feature, rank, and decision levels), score-level fusion techniques (density-based, transformation-based, and classifier-based), and the integration of ancillary information such as quality and soft biometrics. It also discusses the challenges and advancements in multibiometric systems, their applications, and the evaluation of their performance. Key topics include: - **Introduction to Multibiometrics**: Overview of the need for reliable authentication and the benefits of multibiometric systems. - **Information Fusion Levels**: Detailed exploration of sensor-level, feature-level, rank-level, and decision-level fusion. - **Score-Level Fusion**: Techniques for combining match scores from different biometric modalities. - **Fusion Incorporating Ancillary Information**: Methods for integrating additional information like data quality and soft biometrics. - **Appendix**: Bibliography and databases for further research. The book is designed to serve as a reference for researchers, engineers, students, and biometric system integrators, providing a structured framework to understand and advance the field of multibiometrics. It is suitable for graduate courses in biometrics and can also benefit students in information fusion and related fields.The "Handbook of Multibiometrics" is a comprehensive resource that explores the integration and fusion of multiple biometric traits for enhanced authentication and identification. Authored by Arun A. Ross, Karthik Nandakumar, and Anil K. Jain, the book is part of the International Series on Biometrics, edited by Professor David D. Zhang and Professor Anil K. Jain. The series aims to provide an international platform for researchers, professionals, and practitioners to share knowledge and exchange ideas in the field of biometrics. The handbook covers various aspects of multibiometrics, including the levels of fusion (sensor, feature, rank, and decision levels), score-level fusion techniques (density-based, transformation-based, and classifier-based), and the integration of ancillary information such as quality and soft biometrics. It also discusses the challenges and advancements in multibiometric systems, their applications, and the evaluation of their performance. Key topics include: - **Introduction to Multibiometrics**: Overview of the need for reliable authentication and the benefits of multibiometric systems. - **Information Fusion Levels**: Detailed exploration of sensor-level, feature-level, rank-level, and decision-level fusion. - **Score-Level Fusion**: Techniques for combining match scores from different biometric modalities. - **Fusion Incorporating Ancillary Information**: Methods for integrating additional information like data quality and soft biometrics. - **Appendix**: Bibliography and databases for further research. The book is designed to serve as a reference for researchers, engineers, students, and biometric system integrators, providing a structured framework to understand and advance the field of multibiometrics. It is suitable for graduate courses in biometrics and can also benefit students in information fusion and related fields.