Advanced Hand-based Biometrics
Bob Zhang
Sold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since 14 August 2006
New - Hardcover
Condition: New
Ships from Germany to U.S.A.
Quantity: 1 available
Add to basketSold by AHA-BUCH GmbH, Einbeck, Germany
AbeBooks Seller since 14 August 2006
Condition: New
Quantity: 1 available
Add to basketDruck auf Anfrage Neuware - Printed after ordering - This book offers a scholarly examination of innovative biometric recognition technologies, focusing on palmprint, finger-knuckle-print, palm-vein, dorsal-hand-vein, and multi-modal hand-based recognition systems. It is tailored for an academic and professional audience, including researchers, academics, and industry practitioners engaged in the field of biometrics, pattern recognition, and artificial intelligence.The book's significance lies in its comprehensive analysis of state-of-the-art hand-based biometric recognition methods. It provides a systematic overview of various traits and recent technological advancements, offering readers insights into the practical applications and theoretical foundations of these emerging biometric modalities. The content encompasses detailed discussions on feature extraction, matching algorithms, and fusion techniques, highlighting their implications for enhancing authentication accuracy and security.The primary benefits of this book include its thorough coverage of advanced hand-based biometric recognition, its presentation of the latest research findings, and its exploration of cross-disciplinary applications. It is intended to equip readers with an in-depth understanding of the current landscape and future prospects of hand-based biometrics. The book assumes that readers possess a foundational knowledge of pattern recognition and machine learning, which are prerequisites for grasping the presented concepts and methodologies.
Seller Inventory # 9789819509690
This book offers a scholarly examination of innovative biometric recognition technologies, focusing on palmprint, finger-knuckle-print, palm-vein, dorsal-hand-vein, and multi-modal hand-based recognition systems. It is tailored for an academic and professional audience, including researchers, academics, and industry practitioners engaged in the field of biometrics, pattern recognition, and artificial intelligence.
The book's significance lies in its comprehensive analysis of state-of-the-art hand-based biometric recognition methods. It provides a systematic overview of various traits and recent technological advancements, offering readers insights into the practical applications and theoretical foundations of these emerging biometric modalities. The content encompasses detailed discussions on feature extraction, matching algorithms, and fusion techniques, highlighting their implications for enhancing authentication accuracy and security.
The primary benefits of this book include its thorough coverage of advanced hand-based biometric recognition, its presentation of the latest research findings, and its exploration of cross-disciplinary applications. It is intended to equip readers with an in-depth understanding of the current landscape and future prospects of hand-based biometrics. The book assumes that readers possess a foundational knowledge of pattern recognition and machine learning, which are prerequisites for grasping the presented concepts and methodologies.
This book offers a scholarly examination of innovative biometric recognition technologies, focusing on palmprint, finger-knuckle-print, palm-vein, dorsal-hand-vein, and multi-modal hand-based recognition systems. It is tailored for an academic and professional audience, including researchers, academics, and industry practitioners engaged in the field of biometrics, pattern recognition, and artificial intelligence.
The book's significance lies in its comprehensive analysis of state-of-the-art hand-based biometric recognition methods. It provides a systematic overview of various traits and recent technological advancements, offering readers insights into the practical applications and theoretical foundations of these emerging biometric modalities. The content encompasses detailed discussions on feature extraction, matching algorithms, and fusion techniques, highlighting their implications for enhancing authentication accuracy and security.
The primary benefits of this book include its thorough coverage of advanced hand-based biometric recognition, its presentation of the latest research findings, and its exploration of cross-disciplinary applications. It is intended to equip readers with an in-depth understanding of the current landscape and future prospects of hand-based biometrics. The book assumes that readers possess a foundational knowledge of pattern recognition and machine learning, which are prerequisites for grasping the presented concepts and methodologies.
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