This book provides a framework for robust and novel biometric techniques, along with implementation and design strategies. The theory, principles, pragmatic and modern methods, and future directions of biometrics are presented, along with in-depth coverage of biometric applications in driverless cars, automated and AI-based systems, IoT, and wearable devices. Additional coverage includes computer vision and pattern recognition, cybersecurity, cognitive computing, soft biometrics, and the social impact of biometric technology. The book will be a valuable reference for researchers, faculty, and practicing professionals working in biometrics and related fields, such as image processing, computer vision, and artificial intelligence.

• Highlights robust and novel biometrics techniques
• Provides implementation strategies and future research directions in the field of biometrics
• Includes case studies and emerging applications

Introduction

Classification of Biometrics
Computer Vision and Pattern RecognitionBiometric Databases
Machine Learning and Artificial Intelligence (AI)
Design of Classifiers
Cybersecurity and Biometrics
New Algorithms and Technologies
Cognitive Computing
Usability and Testing Methods
3D Face Recognition
Biometric Standards and Protocols
Dimensionality Reduction
Application and Case Studies
Template Aging
Biometric Template Security
Soft Biometrics
Social Impact of Biometric Technology.- Future Directions and Robustness