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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...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2016
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-22485-5 http://cds.cern.ch/record/2112759 |
_version_ | 1780948947600146432 |
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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. |
id | cern-2112759 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
publisher | Springer |
record_format | invenio |
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 |