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Item #:
147161577
AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges (Artificial Intelligence (AI): Elementary to Advanced Practices)
Item #:
147161577
XAF 50854
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Product Details
- 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.
| Publisher | CRC Press |
| Publication date | March 21, 2021 |
| Edition | 1st |
| Language | English |
| File size | 29.7 MB |
| Enhanced typesetting | Not Enabled |
| X-Ray | Not Enabled |
| Word Wise | Not Enabled |
| Print length | 364 pages |
| Format | Print Replica |
| ISBN-13 | 978-1000291629 |
| Page Flip | Not Enabled |
| Part of series | Artificial Intelligence (AI): Elementary to Advanced Practices |
| Item Weight | 0.5 lbs (230 grams) |
Product Description
AI and Deep Learning in Biometric Security: Trends, Potential, and Challenges (Artificial Intelligence (AI): Elementary to Advanced Practices)
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