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AI and Deep Learning in Biometric Security
- Trends, Potential, and Challenges
Engelsk
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Specifikationer
Sprog:
Engelsk
Sider:
364
ISBN-13:
9780367672515
Indbinding:
Paperback
Udgave:
ISBN-10:
0367672510
Udg. Dato:
4 okt 2024
Længde:
0mm
Bredde:
156mm
Højde:
234mm
Forlag:
Taylor & Francis Ltd
Serie:
Artificial Intelligence AI: Elementary to Advanced Practices
Oplagsdato:
4 okt 2024
Forfatter(e):
Paperback
Format:

Om denne bog

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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540,55 kr
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608 kr
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Specifikationer
Sprog:
Engelsk
Sider:
364
ISBN-13:
9780367672515
Indbinding:
Paperback
Udgave:
ISBN-10:
0367672510
Udg. Dato:
4 okt 2024
Længde:
0mm
Bredde:
156mm
Højde:
234mm
Forlag:
Taylor & Francis Ltd
Serie:
Artificial Intelligence AI: Elementary to Advanced Practices
Oplagsdato:
4 okt 2024
Forfatter(e):
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