TY  - BOOK
AU  - Jaswal,Gaurav
AU  - Kanhangad,Vivek
AU  - Ramachandra,Raghavendra
TI  - AI and deep learning in biometric security: trends, potential, and challenges 
T2  - Artificial intelligence (AI) : elementary to advanced practices
SN  - 9781003003489
AV  - TK7882.B56 
U1  - 006.2/48 23
PY  - 2021///
CY  - Boca Raton, FL
PB  - CRC Press
KW  - Biometric identification
KW  - Artificial intelligence
KW  - COMPUTERS / Machine Theory
KW  - bisacsh
KW  - TECHNOLOGY / Manufacturing
KW  - COMPUTERS / Programming / Systems Analysis & Design
N1  - Deep learning based hyperspectral multimodal biometric authentication system using palmprint and dorsal hand vein / Shuping Zhao, Wei Nie, Bob Zhang -- Cancelable biometrics for template protection: Future directives with deep learning / Avantika Singh, Gaurav Jaswal, Aditya Nigam -- On training generative adversarial network for enhancement of latent fingerprints / Indu Joshi, Adithya Anand, Sumantra D Roy and Prem K Kalra
N2  - "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"--
UR  - https://www.taylorfrancis.com/books/9781003003489
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -