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Multispectral Biometrics: Systems and Applications - Softcover

 
9783319369853: Multispectral Biometrics: Systems and Applications

Inhaltsangabe

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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Über die Autorin bzw. den 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.

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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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  • VerlagSpringer
  • Erscheinungsdatum2016
  • ISBN 10 3319369857
  • ISBN 13 9783319369853
  • EinbandTapa blanda
  • SpracheEnglisch
  • Anzahl der Seiten244
  • Kontakt zum HerstellerNicht verfügbar

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9783319224848: Multispectral Biometrics: Systems and Applications

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ISBN 10:  3319224840 ISBN 13:  9783319224848
Verlag: Springer, 2015
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ISBN 10: 3319369857 ISBN 13: 9783319369853
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9783319369853

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Zhang, David; Guo, Zhenhua; Gong, Yazhuo
Verlag: Springer, 2016
ISBN 10: 3319369857 ISBN 13: 9783319369853
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