Finger Vein Biometrics: From Image Acquisition to AI-Powered Identity Recognition

Finger Vein Biometrics: From Image Acquisition to AI-Powered Identity Recognition by Othman Omran Khalifa provides a comprehensive, end-to-end guide to one of the most secure and reliable biometric authentication technologies. The book systematically covers the entire pipeline-from the physics of near-infrared imaging and sensor design, through image preprocessing, feature extraction, and classical machine learning, to the latest advances in deep learning, including CNNs and Vision Transformers. It also addresses critical issues of security, privacy, and template protection, explores multimodal fusion strategies, and examines real-world applications in banking, healthcare, and access control. Concluding with emerging trends such as federated learning, edge-AI, and synthetic data generation, the book offers a practical blueprint for designing intelligent, deployable finger vein recognition systems. Ideal for researchers, engineers, and security professionals, this work bridges theory and practice in the rapidly evolving field of AI-powered identity authentication.