UID:
almahu_9949386475602882
Umfang:
1 online resource
Ausgabe:
First edition.
ISBN:
9781003003489
,
1003003486
,
9781000291667
,
1000291669
,
9781000291629
,
1000291626
,
9781000291643
,
1000291642
Serie:
Artificial intelligence (AI). Elementary to advanced practices
Inhalt:
"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"--
Anmerkung:
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.
Weitere Ausg.:
Print version: AI and deep learning in biometric security. Boca Raton : CRC Press, 2021 ISBN 9780367422448
Sprache:
Englisch
Schlagwort(e):
Electronic books.
URL:
https://www.taylorfrancis.com/books/9781003003489
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