國立虎尾科技大學 |

AI and deep learning in biometric security = trends, potential, and challenges /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	AI and deep learning in biometric security/ edited by Gaurav Jaswal, Vivek Kanhangad, and Raghavendra Ramachandra.
Reminder of title:	trends, potential, and challenges /
other author:	Jaswal, Gaurav.
Published:	Boca Raton, FL :CRC Press, : 2021.,
Description:	1 online resource.
Subject:	Biometric identification. -
Online resource:	https://www.taylorfrancis.com/books/9781003003489
ISBN:	9781003003489

AI and deep learning in biometric security = trends, potential, and challenges /
AI and deep learning in biometric securitytrends, potential, and challenges /[electronic resource] :edited by Gaurav Jaswal, Vivek Kanhangad, and Raghavendra Ramachandra. - 1st ed. - Boca Raton, FL :CRC Press,2021. - 1 online resource. - Artificial intelligence (AI) : elementary to advanced practices. - Artificial intelligence (AI) : elementary to advanced practices..

Includes bibliographical references and index.

"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"--

ISBN: 9781003003489

LCCN: 2020032532Subjects--Topical Terms:

598553
Biometric identification.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.2/48

AI and deep learning in biometric security = trends, potential, and challenges /
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245 0 0 $a AI and deep learning in biometric security $h [electronic resource] : $b trends, potential, and challenges / $c edited by Gaurav Jaswal, Vivek Kanhangad, and Raghavendra Ramachandra.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2021.
300 $a 1 online resource.
490 1 $a Artificial intelligence (AI) : elementary to advanced practices
504 $a Includes bibliographical references and index.
520 $a "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"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher.
650 0 $a Biometric identification. $3 598553
650 0 $a Artificial intelligence. $3 559380
700 1 $a Jaswal, Gaurav. $3 1458057
700 1 $a Kanhangad, Vivek. $3 1458058
700 1 $a Ramachandra, Raghavendra. $3 1458059
830 0 $a Artificial intelligence (AI) : elementary to advanced practices. $3 1458060
856 4 0 $u https://www.taylorfrancis.com/books/9781003003489