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Multispectral biometrics: systems and applications

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 a...

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Detalles Bibliográficos
Autores principales: Zhang, David, Guo, Zhenhua, Gong, Yazhuo
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-319-22485-5
http://cds.cern.ch/record/2112759
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author Zhang, David
Guo, Zhenhua
Gong, Yazhuo
author_facet Zhang, David
Guo, Zhenhua
Gong, Yazhuo
author_sort Zhang, David
collection CERN
description 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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institution Organización Europea para la Investigación Nuclear
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spelling cern-21127592021-04-21T20:01:19Zdoi:10.1007/978-3-319-22485-5http://cds.cern.ch/record/2112759engZhang, DavidGuo, ZhenhuaGong, YazhuoMultispectral biometrics: systems and applicationsEngineeringDescribing 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.Springeroai:cds.cern.ch:21127592016
spellingShingle Engineering
Zhang, David
Guo, Zhenhua
Gong, Yazhuo
Multispectral biometrics: systems and applications
title Multispectral biometrics: systems and applications
title_full Multispectral biometrics: systems and applications
title_fullStr Multispectral biometrics: systems and applications
title_full_unstemmed Multispectral biometrics: systems and applications
title_short Multispectral biometrics: systems and applications
title_sort multispectral biometrics: systems and applications
topic Engineering
url https://dx.doi.org/10.1007/978-3-319-22485-5
http://cds.cern.ch/record/2112759
work_keys_str_mv AT zhangdavid multispectralbiometricssystemsandapplications
AT guozhenhua multispectralbiometricssystemsandapplications
AT gongyazhuo multispectralbiometricssystemsandapplications