A high performance biometric system based on image morphological analysis

Autores
Rocchietti, Marco Augusto; Scerbo, Alejandro Luis Ángel; Ojeda, Silvia María
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: Scerbo, Alejandro Luis Ángel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: Ojeda, Silvia María. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
At present, many of the algorithms used and proposed for digital imaging biometric systems are based on mathematical complex models, and this fact is directly related to the performance of any computer implementation of these algorithms. On the other hand, as they are conceived for general purpose digital imaging, these algorithms do not take advantage of any common morphological features from its given domains. In this paper we developed a novel algorithm for the segmentation of the pupil and iris in human eye images, whose improvement’s hope lies in the use of morphological features of the images of the human eye. Based on the basic structure of a standard biometric system we developed and implemented an innovation for each phase of the system, avoiding the use of mathematical complex models and exploiting some common features in any digital image of the human eye from the dataset that we used. Finally, we compared the testing results against other known state of the art works developed over the same dataset.
publishedVersion
Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: Scerbo, Alejandro Luis Ángel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: Ojeda, Silvia María. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Ciencias de la Computación
Fuente
ISSN 2158-107X
Materia
Biometric system
Digital image processing
Pupil and iris segmentation
Iris matching
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/20856
Acceder
id RDUUNC_3b5717eddab51108d5af9b42bb41c1d8
oai_identifier_str oai:rdu.unc.edu.ar:11086/20856
network_acronym_str RDUUNC
repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling A high performance biometric system based on image morphological analysisRocchietti, Marco AugustoScerbo, Alejandro Luis ÁngelOjeda, Silvia MaríaBiometric systemDigital image processingPupil and iris segmentationIris matchingFil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.Fil: Scerbo, Alejandro Luis Ángel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.Fil: Ojeda, Silvia María. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.At present, many of the algorithms used and proposed for digital imaging biometric systems are based on mathematical complex models, and this fact is directly related to the performance of any computer implementation of these algorithms. On the other hand, as they are conceived for general purpose digital imaging, these algorithms do not take advantage of any common morphological features from its given domains. In this paper we developed a novel algorithm for the segmentation of the pupil and iris in human eye images, whose improvement’s hope lies in the use of morphological features of the images of the human eye. Based on the basic structure of a standard biometric system we developed and implemented an innovation for each phase of the system, avoiding the use of mathematical complex models and exploiting some common features in any digital image of the human eye from the dataset that we used. Finally, we compared the testing results against other known state of the art works developed over the same dataset.publishedVersionFil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.Fil: Scerbo, Alejandro Luis Ángel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.Fil: Ojeda, Silvia María. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.Ciencias de la Computación2014info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfRocchietti, M. A., Scerbo, A. L. A. y Ojeda, S. M. (2014). A high performance biometric system based on image morphological analysis. International Journal of Advanced Computer Science and Applications, 5 (9), 89-94. http://dx.doi.org/10.14569/IJACSA.2014.050914http://hdl.handle.net/11086/20856http://dx.doi.org/10.14569/IJACSA.2014.050914ISSN 2158-107Xreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNCenginfo:eu-repo/semantics/openAccess2025-09-29T13:44:38Zoai:rdu.unc.edu.ar:11086/20856Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-29 13:44:39.021Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv A high performance biometric system based on image morphological analysis
title A high performance biometric system based on image morphological analysis
spellingShingle A high performance biometric system based on image morphological analysis
Rocchietti, Marco Augusto
Biometric system
Digital image processing
Pupil and iris segmentation
Iris matching
title_short A high performance biometric system based on image morphological analysis
title_full A high performance biometric system based on image morphological analysis
title_fullStr A high performance biometric system based on image morphological analysis
title_full_unstemmed A high performance biometric system based on image morphological analysis
title_sort A high performance biometric system based on image morphological analysis
dc.creator.none.fl_str_mv Rocchietti, Marco Augusto
Scerbo, Alejandro Luis Ángel
Ojeda, Silvia María
author Rocchietti, Marco Augusto
author_facet Rocchietti, Marco Augusto
Scerbo, Alejandro Luis Ángel
Ojeda, Silvia María
author_role author
author2 Scerbo, Alejandro Luis Ángel
Ojeda, Silvia María
author2_role author
author
dc.subject.none.fl_str_mv Biometric system
Digital image processing
Pupil and iris segmentation
Iris matching
topic Biometric system
Digital image processing
Pupil and iris segmentation
Iris matching
dc.description.none.fl_txt_mv Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: Scerbo, Alejandro Luis Ángel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: Ojeda, Silvia María. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
At present, many of the algorithms used and proposed for digital imaging biometric systems are based on mathematical complex models, and this fact is directly related to the performance of any computer implementation of these algorithms. On the other hand, as they are conceived for general purpose digital imaging, these algorithms do not take advantage of any common morphological features from its given domains. In this paper we developed a novel algorithm for the segmentation of the pupil and iris in human eye images, whose improvement’s hope lies in the use of morphological features of the images of the human eye. Based on the basic structure of a standard biometric system we developed and implemented an innovation for each phase of the system, avoiding the use of mathematical complex models and exploiting some common features in any digital image of the human eye from the dataset that we used. Finally, we compared the testing results against other known state of the art works developed over the same dataset.
publishedVersion
Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: Scerbo, Alejandro Luis Ángel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Fil: Ojeda, Silvia María. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
Ciencias de la Computación
description Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina.
publishDate 2014
dc.date.none.fl_str_mv 2014
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv Rocchietti, M. A., Scerbo, A. L. A. y Ojeda, S. M. (2014). A high performance biometric system based on image morphological analysis. International Journal of Advanced Computer Science and Applications, 5 (9), 89-94. http://dx.doi.org/10.14569/IJACSA.2014.050914
http://hdl.handle.net/11086/20856
http://dx.doi.org/10.14569/IJACSA.2014.050914
identifier_str_mv Rocchietti, M. A., Scerbo, A. L. A. y Ojeda, S. M. (2014). A high performance biometric system based on image morphological analysis. International Journal of Advanced Computer Science and Applications, 5 (9), 89-94. http://dx.doi.org/10.14569/IJACSA.2014.050914
url http://hdl.handle.net/11086/20856
http://dx.doi.org/10.14569/IJACSA.2014.050914
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv ISSN 2158-107X
reponame:Repositorio Digital Universitario (UNC)
instname:Universidad Nacional de Córdoba
instacron:UNC
reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
instacron_str UNC
institution UNC
repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
_version_ 1844618987669815296
score 13.070432

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