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.
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Location: Wiri
End Time: 2024-12-06T04:19:49.000Z
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EAN: 9780367422448
UPC: 9780367422448
ISBN: 9780367422448
MPN: N/A
Book Title: AI and Deep Learning in Biometric Security: Trends
Item Length: 23.9 cm
Subject Area: Mechanical Engineering
Item Height: 234 mm
Item Width: 156 mm
Author: Raghavendra Ramachandra, Vivek Kanhangad, Gaurav Jaswal
Publication Name: Ai and Deep Learning in Biometric Security: Trends, Potential, and Challenges
Format: Hardcover
Language: English
Publisher: Taylor & Francis Ltd
Subject: Engineering & Technology, Computer Science
Publication Year: 2021
Type: Textbook
Item Weight: 667 g
Number of Pages: 364 Pages
