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Synopsis
Finger Vein Biometrics: From Image Acquisition to AI-Powered Identity Recognition by Othman Omran Khalifa provides a comprehensive, end-to-end guide to one of the most secure and reliable biometric authentication technologies. The book systematically covers the entire pipeline—from the physics of near-infrared imaging and sensor design, through image preprocessing, feature extraction, and classical machine learning, to the latest advances in deep learning, including CNNs and Vision Transformers. It also addresses critical issues of security, privacy, and template protection, explores multimodal fusion strategies, and examines real-world applications in banking, healthcare, and access control. Concluding with emerging trends such as federated learning, edge-AI, and synthetic data generation, the book offers a practical blueprint for designing intelligent, deployable finger vein recognition systems. Ideal for researchers, engineers, and security professionals, this work bridges theory and practice in the rapidly evolving field of AI-powered identity authentication.
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Finger Vein Biometrics (Paperback)
impression à la demandeVendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Finger Vein Biometrics: From Image Acquisition to AI-Powered Identity Recognition by Othman Omran Khalifa provides a comprehensive, end-to-end guide to one of the most secure and reliable biometric authentication technologies. The book systematically covers the entire pipeline-from the physics of near-infrared imaging and sensor design, through image preprocessing, feature extraction, and classical machine learning, to the latest advances in deep learning, including CNNs and Vision Transformers. It also addresses critical issues of security, privacy, and template protection, explores multimodal fusion strategies, and examines real-world applications in banking, healthcare, and access control. Concluding with emerging trends such as federated learning, edge-AI, and synthetic data generation, the book offers a practical blueprint for designing intelligent, deployable finger vein recognition systems. Ideal for researchers, engineers, and security professionals, this work bridges theory and practice in the rapidly evolving field of AI-powered identity authentication. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798171121914
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Finger Vein Biometrics
impression à la demandeVendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
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PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798171121914
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Finger Vein Biometrics
impression à la demandeVendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798171121914
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Finger Vein Biometrics: From Image Acquisition to AI-Powered Identity Recognition
impression à la demandeVendeur : California Books, Miami, FL, Etats-Unis
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Etat : New. Print on Demand. N° de réf. du vendeur I-9798171121914
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Finger Vein Biometrics (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Finger Vein Biometrics: From Image Acquisition to AI-Powered Identity Recognition by Othman Omran Khalifa provides a comprehensive, end-to-end guide to one of the most secure and reliable biometric authentication technologies. The book systematically covers the entire pipeline-from the physics of near-infrared imaging and sensor design, through image preprocessing, feature extraction, and classical machine learning, to the latest advances in deep learning, including CNNs and Vision Transformers. It also addresses critical issues of security, privacy, and template protection, explores multimodal fusion strategies, and examines real-world applications in banking, healthcare, and access control. Concluding with emerging trends such as federated learning, edge-AI, and synthetic data generation, the book offers a practical blueprint for designing intelligent, deployable finger vein recognition systems. Ideal for researchers, engineers, and security professionals, this work bridges theory and practice in the rapidly evolving field of AI-powered identity authentication. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798171121914
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EUR 68,89
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Expédition depuis Royaume-Uni vers Etats-Unis
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Finger Vein Biometrics : From Image Acquisition to AI-Powered Identity Recognition
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware - Finger Vein Biometrics: From Image Acquisition to AI-Powered Identity Recognition by Othman Omran Khalifa provides a comprehensive, end-to-end guide to one of the most secure and reliable biometric authentication technologies. The book systematically covers the entire pipeline-from the physics of near-infrared imaging and sensor design, through image preprocessing, feature extraction, and classical machine learning, to the latest advances in deep learning, including CNNs and Vision Transformers. It also addresses critical issues of security, privacy, and template protection, explores multimodal fusion strategies, and examines real-world applications in banking, healthcare, and access control. Concluding with emerging trends such as federated learning, edge-AI, and synthetic data generation, the book offers a practical blueprint for designing intelligent, deployable finger vein recognition systems. Ideal for researchers, engineers, and security professionals, this work bridges theory and practice in the rapidly evolving field of AI-powered identity authentication. N° de réf. du vendeur 9798171121914
Acheter neuf
EUR 95,17
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Expédition depuis Allemagne vers Etats-Unis
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