AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges

AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges This book provides an in-depth overview of artificial intelligence and deep learning approaches with case studies to solve problems associated with biometric security such as authentication, indexing, template protection, spoofing attack detection, ROI detection, gender classification etc. This text highlights a showcase of cutting-edge research on the use of convolution neural networks, autoencoders, recurrent convolutional neural networks in face, hand, iris, gait, fingerprint, vein, and medical biometric traits. It also provides a step-by-step guide to understanding deep learning concepts for biometrics authentication approaches and presents an analysis of biometric images under various environmental conditions. This book is sure to catch the attention of scholars, researchers, practitioners, and technology aspirants who are willing to research in the field of AI and biometric security. Wydawnictwo: Taylor & Francis Rok wydania: 2021 Okładka: twarda Liczba stron: 364 Wymiary: 16.1 x 24.1 x 2.8 cm Ilustracje: 90 Line drawings, black and white; 63 Halftones, black and white; 87 Tables, black and white; 153 Illustrations, black and white Język: angielski ISBN: 9780367422448