Introduction to Biometrics: Edition 2

• Lucid explanation of core biometric concepts (e.g., individuality and persistence), which builds a strong foundation for more in-depth study and research on biometrics
• A new chapter on deep neural networks that provides a primer to recent advancements in machine learning and computer vision
• Illustrative examples of how deep neural network models have contributed to the rapid evolution of biometrics in areas such as robust feature representation and synthetic biometric data generation
• A new chapter on speaker recognition, which introduces the readers to person recognition based on the human voice characteristics
• Presentation of emerging security threats such as deepfakes and adversarial attacks and sophisticated countermeasures such as presentation attack detection and template security

While this textbook has been designed for senior undergraduate students and first-year graduate students studying a course on biometrics, it is also a useful reference guide for biometric system designers, developers, and integrators.