Finger-vein individuals identification on massive databases

Autores
Guidet, Sebastián; Barrientos, Ricardo J.; Frati, Fernando Emmanuel; Hernández-García, Ruber
Año de publicación
2020
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In massive biometric identification, response times highlydepend on the searching algorithms. Traditional systems operate with databases of up to 10,000 records. In large databases, with an increasing number of simultaneous queries, the system response time is a critical factor. This work proposes a GPU-based implementation for the matching process of finger-vein massive identification. Experimental resultss how that our approach solves up to 256 simultaneous queries on large databases achieving up to 136x.
Instituto de Investigación en Informática
Instituto de Investigación en Informática
Materia
Ciencias Informáticas
High Performance Computing
Identification of individuals
Local linear binary pattern
Finger veins
GPU
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/104768
Acceder
id SEDICI_cb1fb6e694322203463f0fb8bd0b8f41
oai_identifier_str oai:sedici.unlp.edu.ar:10915/104768
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Finger-vein individuals identification on massive databasesGuidet, SebastiánBarrientos, Ricardo J.Frati, Fernando EmmanuelHernández-García, RuberCiencias InformáticasHigh Performance ComputingIdentification of individualsLocal linear binary patternFinger veinsGPUIn massive biometric identification, response times highlydepend on the searching algorithms. Traditional systems operate with databases of up to 10,000 records. In large databases, with an increasing number of simultaneous queries, the system response time is a critical factor. This work proposes a GPU-based implementation for the matching process of finger-vein massive identification. Experimental resultss how that our approach solves up to 256 simultaneous queries on large databases achieving up to 136x.Instituto de Investigación en InformáticaInstituto de Investigación en Informática2020-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/104768enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-1927-4info:eu-repo/semantics/reference/hdl/10915/103585info:eu-repo/semantics/reference/hdl/10915/103585info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:22:57Zoai:sedici.unlp.edu.ar:10915/104768Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:22:57.935SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Finger-vein individuals identification on massive databases
title Finger-vein individuals identification on massive databases
spellingShingle Finger-vein individuals identification on massive databases
Guidet, Sebastián
Ciencias Informáticas
High Performance Computing
Identification of individuals
Local linear binary pattern
Finger veins
GPU
title_short Finger-vein individuals identification on massive databases
title_full Finger-vein individuals identification on massive databases
title_fullStr Finger-vein individuals identification on massive databases
title_full_unstemmed Finger-vein individuals identification on massive databases
title_sort Finger-vein individuals identification on massive databases
dc.creator.none.fl_str_mv Guidet, Sebastián
Barrientos, Ricardo J.
Frati, Fernando Emmanuel
Hernández-García, Ruber
author Guidet, Sebastián
author_facet Guidet, Sebastián
Barrientos, Ricardo J.
Frati, Fernando Emmanuel
Hernández-García, Ruber
author_role author
author2 Barrientos, Ricardo J.
Frati, Fernando Emmanuel
Hernández-García, Ruber
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
High Performance Computing
Identification of individuals
Local linear binary pattern
Finger veins
GPU
topic Ciencias Informáticas
High Performance Computing
Identification of individuals
Local linear binary pattern
Finger veins
GPU
dc.description.none.fl_txt_mv In massive biometric identification, response times highlydepend on the searching algorithms. Traditional systems operate with databases of up to 10,000 records. In large databases, with an increasing number of simultaneous queries, the system response time is a critical factor. This work proposes a GPU-based implementation for the matching process of finger-vein massive identification. Experimental resultss how that our approach solves up to 256 simultaneous queries on large databases achieving up to 136x.
Instituto de Investigación en Informática
Instituto de Investigación en Informática
description In massive biometric identification, response times highlydepend on the searching algorithms. Traditional systems operate with databases of up to 10,000 records. In large databases, with an increasing number of simultaneous queries, the system response time is a critical factor. This work proposes a GPU-based implementation for the matching process of finger-vein massive identification. Experimental resultss how that our approach solves up to 256 simultaneous queries on large databases achieving up to 136x.
publishDate 2020
dc.date.none.fl_str_mv 2020-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/104768
url http://sedici.unlp.edu.ar/handle/10915/104768
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-1927-4
info:eu-repo/semantics/reference/hdl/10915/103585
info:eu-repo/semantics/reference/hdl/10915/103585
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
_version_ 1844616105296920576
score 13.069144

Publicaciones similares