AI and deep learning in biometric security : trends, potential, and challenges /
"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. Thi...
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| Other Authors: | , , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
CRC Press,
2021.
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| Edition: | First edition. |
| Series: | Artificial intelligence (AI) : elementary to advanced practices
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| Subjects: | |
| Online Access: | Taylor & Francis OCLC metadata license agreement |
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Add Tag | Summary: | "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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| Physical Description: | 1 online resource. |
| ISBN: | 9781003003489 1003003486 9781000291667 1000291669 9781000291629 1000291626 9781000291643 1000291642 |
Biometric security /