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Sinopsis
Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the author's research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others.
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Acerca del autor
David Zhang graduated in Computer Science from Peking University. He received a MSc and PhD in Computer Science from the Harbin Institute of Technology (HIT). From 1986 to 1988 he was a Postdoctoral Fellow at Tsinghua University and then an Associate Professor at the Academia Sinica, Beijing. In 1994 he received his second PhD in Electrical and Computer Engineering from the University of Waterloo, Ontario, Canada. Currently, he is a Chair Professor at the Hong Kong Polytechnic University where he is the Founding Director of the Biometrics Technology Centre (UGC/CRC) supported by the Hong Kong SAR Government in 1998. He also serves as Visiting Chair Professor in Tsinghua University and HIT, and Adjunct Professor in Shanghai Jiao Tong University, Peking University, National University of Defense Technology and the University of Waterloo.
He is the Founder and Editor-in-Chief, International Journal of Image and Graphics (IJIG); Book Editor, Springer International Series on Biometrics (KISB); Organizer, the first International Conference on Biometrics Authentication (ICBA); Associate Editor of more than ten international journals including IEEE Transactions; Technical Committee Chair of IEEE SMC and the author of more thanSpeaker of the IEEE Computer Society, and a Fellow of both IEEE and IAPR.
De la contraportada
Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the author s research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others.
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- EditorialSpringer
- Año de publicación2016
- ISBN 10 3319369857
- ISBN 13 9783319369853
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas244
- Contacto del fabricanteno disponible
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Multispectral Biometrics
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Springer International Publishing, 2016
ISBN 10: 3319369857
ISBN 13: 9783319369853
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Maximizes reader insights into new biometric technologies such as high- resolution fingerprint, finger-knuckle-print and multi-spectral iris recognition technologies Analyzes how these technologies have been implemented in different biomet. Nº de ref. del artículo: 448747946
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Multispectral Biometrics
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Springer International Publishing Okt 2016, 2016
ISBN 10: 3319369857
ISBN 13: 9783319369853
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the author's research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others. 244 pp. Englisch. Nº de ref. del artículo: 9783319369853
Cantidad disponible: 2 disponibles
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Multispectral Biometrics : Systems and Applications
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Springer International Publishing, Springer International Publishing, 2016
ISBN 10: 3319369857
ISBN 13: 9783319369853
Nuevo
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ISBN 10: 3319369857
ISBN 13: 9783319369853
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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