AI and Deep Learning in Biometric Security : Trends, Potential, and Challenges Hardback
Edited by Gaurav (National Agri-Food Biotech. Institute) Jaswal, Vivek (Indian Institute of Tech.) Kanhangad, Raghavendra (Norwegian Univ. of Sci. & Tech.) Ramachandra
Part of the Artificial Intelligence AI: Elementary to Advanced Practices series
Hardback
Description
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.
Information
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Out of stock
- Format:Hardback
- Pages:364 pages, 87 Tables, black and white; 90 Line drawings, black and white; 63 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:22/03/2021
- Category:
- ISBN:9780367422448
Information
-
Out of stock
- Format:Hardback
- Pages:364 pages, 87 Tables, black and white; 90 Line drawings, black and white; 63 Halftones, black and wh
- Publisher:Taylor & Francis Ltd
- Publication Date:22/03/2021
- Category:
- ISBN:9780367422448
