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AI and deep learning in biometric securitytrends, potential, and challenges /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AI and deep learning in biometric securityedited by Gaurav Jaswal, Vivek Kanhangad, and Raghavendra Ramachandra.
其他題名:	trends, potential, and challenges /
其他作者:	Jaswal, Gaurav.
出版者:	Boca Raton, FL :CRC Press,2021.
面頁冊數:	1 online resource.
標題:	Biometric identification.
電子資源:	https://www.taylorfrancis.com/books/9781003003489
ISBN:	9781003003489$q(electronic bk.)

AI and deep learning in biometric securitytrends, 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$q(electronic bk.)

LCCN: 2020032532Subjects--Topical Terms:

256971
Biometric identification.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.2/48

AI and deep learning in biometric securitytrends, 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 256971
650 0 $a Artificial intelligence. $3 194058
700 1 $a Jaswal, Gaurav. $3 976472
700 1 $a Kanhangad, Vivek. $3 976473
700 1 $a Ramachandra, Raghavendra. $3 976474
830 0 $a Artificial intelligence (AI) : elementary to advanced practices. $3 976475
856 4 0 $u https://www.taylorfrancis.com/books/9781003003489