A High Performance Biometric System Based on Image Morphological Analysis

Autores
Rocchietti, Marco Augusto; Scerbo, Alejandro Luis Angel; Ojeda, Silvia
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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.
Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scerbo, Alejandro Luis Angel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ojeda, Silvia. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomia y Física. Sección Matemática. Grupo de Probabilidad y Estadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
ALGORITHMS
PERFORMANCE
BIOMETRICS
SEGMENTATION
IRIS
PUPIL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/35203
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/35203
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling A High Performance Biometric System Based on Image Morphological AnalysisRocchietti, Marco AugustoScerbo, Alejandro Luis AngelOjeda, SilviaALGORITHMSPERFORMANCEBIOMETRICSSEGMENTATIONIRISPUPILhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1At 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.Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Scerbo, Alejandro Luis Angel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ojeda, Silvia. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomia y Física. Sección Matemática. Grupo de Probabilidad y Estadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaThe Science and Information (SAI) Organization2014-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/35203Rocchietti, Marco Augusto; Scerbo, Alejandro Luis Angel; Ojeda, Silvia; A High Performance Biometric System Based on Image Morphological Analysis; The Science and Information (SAI) Organization; International Journal of Advanced Computer Science and Applications; 5; 9; 9-2014; 89-942158-107XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.14569/IJACSA.2014.050914info:eu-repo/semantics/altIdentifier/url/http://thesai.org/Publications/ViewPaper?Volume=5&Issue=9&Code=ijacsa&SerialNo=14info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:11:58Zoai:ri.conicet.gov.ar:11336/35203instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:11:58.326CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
ALGORITHMS
PERFORMANCE
BIOMETRICS
SEGMENTATION
IRIS
PUPIL
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 Angel
Ojeda, Silvia
author Rocchietti, Marco Augusto
author_facet Rocchietti, Marco Augusto
Scerbo, Alejandro Luis Angel
Ojeda, Silvia
author_role author
author2 Scerbo, Alejandro Luis Angel
Ojeda, Silvia
author2_role author
author
dc.subject.none.fl_str_mv ALGORITHMS
PERFORMANCE
BIOMETRICS
SEGMENTATION
IRIS
PUPIL
topic ALGORITHMS
PERFORMANCE
BIOMETRICS
SEGMENTATION
IRIS
PUPIL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv 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.
Fil: Rocchietti, Marco Augusto. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Scerbo, Alejandro Luis Angel. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomía y Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ojeda, Silvia. Universidad Nacional de Córdoba. Facultad de Matemática, Astronomia y Física. Sección Matemática. Grupo de Probabilidad y Estadística; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description 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.
publishDate 2014
dc.date.none.fl_str_mv 2014-09
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 http://hdl.handle.net/11336/35203
Rocchietti, Marco Augusto; Scerbo, Alejandro Luis Angel; Ojeda, Silvia; A High Performance Biometric System Based on Image Morphological Analysis; The Science and Information (SAI) Organization; International Journal of Advanced Computer Science and Applications; 5; 9; 9-2014; 89-94
2158-107X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/35203
identifier_str_mv Rocchietti, Marco Augusto; Scerbo, Alejandro Luis Angel; Ojeda, Silvia; A High Performance Biometric System Based on Image Morphological Analysis; The Science and Information (SAI) Organization; International Journal of Advanced Computer Science and Applications; 5; 9; 9-2014; 89-94
2158-107X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.14569/IJACSA.2014.050914
info:eu-repo/semantics/altIdentifier/url/http://thesai.org/Publications/ViewPaper?Volume=5&Issue=9&Code=ijacsa&SerialNo=14
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv The Science and Information (SAI) Organization
publisher.none.fl_str_mv The Science and Information (SAI) Organization
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.069144

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