Advanced Hand-based Biometrics - Fei, Lunke

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Résumé :
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....

Biographie:
David Zhang (Life Fellow, IEEE) graduated from Peking University, Beijing, China, in 1974, and received the first Ph.D. degree in computer science from Harbin Institute of Technology, Harbin, China, in 1985, and the second Ph.D. degree in electrical and computer engineering from the University of Waterloo, Waterloo, ON, Canada, in 1994. He has been a Chair Professor at The Hong Kong Polytechnic University, Hong Kong, where he was the Founding Director of the Biometrics Research Centre (UGC/CRC), supported by the Hong Kong SAR Government since 1998. He is currently a Distinguished Presidential Chair Professor at The Chinese University of Hong Kong (CUHK-Shenzhen), Shenzhen, China. He has been working on pattern recognition, image processing, and biometrics, creating various famous directions, including medical biometrics and computerized TCM. Prof. Zhang has been selected as a fellow of the Royal Society of Canada (RSC) and the Canadian Academy of Engineering (CAE). He is also a Croucher Senior Research Fellow, a Distinguished Speaker of the IEEE Computer Society, and an IAPR and AAIA Fellow. He has been listed as a Global Highly Cited Researcher in Engineering by Clarivate Analytics for eight years. He is also ranked 70th with H-Index 133 in the Top 1000 Scientists for International Computer Science in 2023. Dandan Fan received the B.S. degree in mechanical design and manufacturing and automation from Southwest Jiaotong University, Cheng Du, in 2013, the M.S. degree in software engineering from Xi&rsquo...