Iris Information Management in Object-Relational Databases

Autores
Alvez, Carlos E.; Etchart, Graciela; Ruíz, Silvia; Miranda, Ernesto; Aguirre, Juan José; Benedetto, Marcelo Gabriel; Delfín, Santiago
Año de publicación
2015
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Biometrics is a technology under development that has been enhanced by the increasing security concerns in organizations at all levels. Public agencies that employ this technology need to consult the biometric data efficiently and share them with other agencies. Hence the need for data models and standards that allow interoperability between systems and facilitate data searches. The objective of this work is to develop a generic architecture using object-relational database technology (ORDB), according to international standards, for identifying people by means of iris recognition. In addition, a model expressed in Unified Modeling Language (UML) class diagram where the domain data types defined for use in architecture is proposed. This architecture will allow interoperability between organizations efficiently and safely.
XII Workshop Bases de Datos y Minería de Datos (WBDDM)
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
biometría
object-relational database
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/50444
Acceder
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network_name_str SEDICI (UNLP)
spelling Iris Information Management in Object-Relational DatabasesAlvez, Carlos E.Etchart, GracielaRuíz, SilviaMiranda, ErnestoAguirre, Juan JoséBenedetto, Marcelo GabrielDelfín, SantiagoCiencias Informáticasbiometríaobject-relational databaseBiometrics is a technology under development that has been enhanced by the increasing security concerns in organizations at all levels. Public agencies that employ this technology need to consult the biometric data efficiently and share them with other agencies. Hence the need for data models and standards that allow interoperability between systems and facilitate data searches. The objective of this work is to develop a generic architecture using object-relational database technology (ORDB), according to international standards, for identifying people by means of iris recognition. In addition, a model expressed in Unified Modeling Language (UML) class diagram where the domain data types defined for use in architecture is proposed. This architecture will allow interoperability between organizations efficiently and safely.XII Workshop Bases de Datos y Minería de Datos (WBDDM)Red de Universidades con Carreras en Informática (RedUNCI)2015-10info: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/10915/50444enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-3806-05-6info:eu-repo/semantics/reference/hdl/10915/50028info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:36:37Zoai:sedici.unlp.edu.ar:10915/50444Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:36:37.468SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Iris Information Management in Object-Relational Databases
title Iris Information Management in Object-Relational Databases
spellingShingle Iris Information Management in Object-Relational Databases
Alvez, Carlos E.
Ciencias Informáticas
biometría
object-relational database
title_short Iris Information Management in Object-Relational Databases
title_full Iris Information Management in Object-Relational Databases
title_fullStr Iris Information Management in Object-Relational Databases
title_full_unstemmed Iris Information Management in Object-Relational Databases
title_sort Iris Information Management in Object-Relational Databases
dc.creator.none.fl_str_mv Alvez, Carlos E.
Etchart, Graciela
Ruíz, Silvia
Miranda, Ernesto
Aguirre, Juan José
Benedetto, Marcelo Gabriel
Delfín, Santiago
author Alvez, Carlos E.
author_facet Alvez, Carlos E.
Etchart, Graciela
Ruíz, Silvia
Miranda, Ernesto
Aguirre, Juan José
Benedetto, Marcelo Gabriel
Delfín, Santiago
author_role author
author2 Etchart, Graciela
Ruíz, Silvia
Miranda, Ernesto
Aguirre, Juan José
Benedetto, Marcelo Gabriel
Delfín, Santiago
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
biometría
object-relational database
topic Ciencias Informáticas
biometría
object-relational database
dc.description.none.fl_txt_mv Biometrics is a technology under development that has been enhanced by the increasing security concerns in organizations at all levels. Public agencies that employ this technology need to consult the biometric data efficiently and share them with other agencies. Hence the need for data models and standards that allow interoperability between systems and facilitate data searches. The objective of this work is to develop a generic architecture using object-relational database technology (ORDB), according to international standards, for identifying people by means of iris recognition. In addition, a model expressed in Unified Modeling Language (UML) class diagram where the domain data types defined for use in architecture is proposed. This architecture will allow interoperability between organizations efficiently and safely.
XII Workshop Bases de Datos y Minería de Datos (WBDDM)
Red de Universidades con Carreras en Informática (RedUNCI)
description Biometrics is a technology under development that has been enhanced by the increasing security concerns in organizations at all levels. Public agencies that employ this technology need to consult the biometric data efficiently and share them with other agencies. Hence the need for data models and standards that allow interoperability between systems and facilitate data searches. The objective of this work is to develop a generic architecture using object-relational database technology (ORDB), according to international standards, for identifying people by means of iris recognition. In addition, a model expressed in Unified Modeling Language (UML) class diagram where the domain data types defined for use in architecture is proposed. This architecture will allow interoperability between organizations efficiently and safely.
publishDate 2015
dc.date.none.fl_str_mv 2015-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
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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/10915/50444
url http://sedici.unlp.edu.ar/handle/10915/50444
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-3806-05-6
info:eu-repo/semantics/reference/hdl/10915/50028
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
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reponame_str SEDICI (UNLP)
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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