Holdings: Cross disciplinary biometric systems

Cross disciplinary biometric systems:

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Bibliographic Details
Main Authors:	Liu, Chengjun (Author), Mago, Vijay Kumar (Author)
Format:	Electronic eBook
Language:	English
Published:	Berlin [u.a.] Springer 2012
Series:	Intelligent systems reference library 37
Subjects:	Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Optical pattern recognition Biometrics Computational Intelligence Pattern Recognition Artificial Intelligence (incl. Robotics)
Online Access:	BTU01 FAB01 FHA01 FHI01 FHN01 FKE01 FWS01 FWS02 Volltext
Physical Description:	1 Online-Ressource
ISBN:	9783642284571
DOI:	10.1007/978-3-642-28457-1

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MARC


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Record in the Search Index

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id	DE-604.BV040125353
illustrated	Not Illustrated
indexdate	2025-02-20T06:48:01Z
institution	BVB
isbn	9783642284571
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-024982638
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open_access_boolean
owner	DE-863 DE-BY-FWS DE-862 DE-BY-FWS DE-634 DE-Aug4 DE-92 DE-1043 DE-859 DE-573
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physical	1 Online-Ressource
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publishDate	2012
publishDateSearch	2012
publishDateSort	2012
publisher	Springer
record_format	marc
series	Intelligent systems reference library
series2	Intelligent systems reference library
spellingShingle	Liu, Chengjun Mago, Vijay Kumar Cross disciplinary biometric systems Intelligent systems reference library Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Optical pattern recognition Biometrics Computational Intelligence Pattern Recognition Artificial Intelligence (incl. Robotics)
title	Cross disciplinary biometric systems
title_auth	Cross disciplinary biometric systems
title_exact_search	Cross disciplinary biometric systems
title_full	Cross disciplinary biometric systems Chengjun Liu ; Vijay Kumar Mago
title_fullStr	Cross disciplinary biometric systems Chengjun Liu ; Vijay Kumar Mago
title_full_unstemmed	Cross disciplinary biometric systems Chengjun Liu ; Vijay Kumar Mago
title_short	Cross disciplinary biometric systems
title_sort	cross disciplinary biometric systems
topic	Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Optical pattern recognition Biometrics Computational Intelligence Pattern Recognition Artificial Intelligence (incl. Robotics)
topic_facet	Ingenieurwissenschaften Künstliche Intelligenz Engineering Artificial intelligence Optical pattern recognition Biometrics Computational Intelligence Pattern Recognition Artificial Intelligence (incl. Robotics)
url	https://doi.org/10.1007/978-3-642-28457-1
volume_link	(DE-604)BV041145603
work_keys_str_mv	AT liuchengjun crossdisciplinarybiometricsystems AT magovijaykumar crossdisciplinarybiometricsystems

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