Efficient Search Method to Solve the Fingerprint Identification Problem by Applying Machine Learning

Descripción del Articulo

In biometrics technology, the fingerprint identification problem has been widely studied over the last decades due to its applicability in person identification cases. In casualty cases, recognition of the victim is required, which should be done unequivocally using fingerprint identification. The a...

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Detalles Bibliográficos
Autores: Ruiz Rivera, María Elena, Ruiz Lizama, Edgar
Formato: artículo
Fecha de Publicación:2022
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
inglés
OAI Identifier:oai:ojs.csi.unmsm:article/20895
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/20895
Nivel de acceso:acceso abierto
Materia:Huella dactilar
biométrico
aprendizaje automático
búsqueda de huella dactilar
Fingerprint
biometrics
machine learning
fingerprint search
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network_name_str Revistas - Universidad Nacional Mayor de San Marcos
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spelling Efficient Search Method to Solve the Fingerprint Identification Problem by Applying Machine LearningMétodo de búsqueda eficiente para resolver el problema de identificación de huella dactilar aplicando machine learningRuiz Rivera, María ElenaRuiz Lizama, EdgarRuiz Rivera, María ElenaRuiz Lizama, EdgarHuella dactilarbiométricoaprendizaje automáticobúsqueda de huella dactilarFingerprintbiometricsmachine learningfingerprint searchIn biometrics technology, the fingerprint identification problem has been widely studied over the last decades due to its applicability in person identification cases. In casualty cases, recognition of the victim is required, which should be done unequivocally using fingerprint identification. The aim of this research is to innovate the fingerprint identification process, developing an efficient search method in a large database that allows finding a fingerprint in less time by classifying fingerprints into segments, according to their closest characteristics, using machine learning. Then, in a given segment, a discrete linear search algorithm is applied, with which the required fingerprint is located.En tecnología biométrica, el problema de identificación de huella dactilar ha sido ampliamente estudiado en las últimas décadas debido a su aplicabilidad en casos de identificación de personas. En casos de siniestralidad, se requiere el reconocimiento de la persona afectada, lo cual debe realizarse de manera inequívoca mediante la identificación dactilar. El objetivo de la presente investigación es innovar el proceso de identificación de huella dactilar a través de un método de búsqueda eficiente en una gran base de datos que permite encontrar una huella dactilar en menor tiempo mediante la clasificación de las huellas dactilares en segmentos, según sus características más próximas, utilizando machine learning; luego, en un determinado segmento, se aplica el algoritmo discreto de búsqueda secuencial, con el que se ubica la huella dactilar requerida.Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos2022-01-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmlaudio/mpegaudio/mpeghttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/2089510.15381/idata.v24i2.20895Industrial Data; Vol. 24 No. 2 (2021); 293-317Industrial Data; Vol. 24 Núm. 2 (2021); 293-3171810-99931560-9146reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspaenghttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/20895/17737https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/20895/17738https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/20895/17739https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/20895/17740Derechos de autor 2021 María Elena Ruiz Rivera, Edgar Ruiz Lizamahttps://creativecommons.org/licenses/by/4.0/deed.es_ESinfo:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/208952022-01-12T12:16:22Z
dc.title.none.fl_str_mv Efficient Search Method to Solve the Fingerprint Identification Problem by Applying Machine Learning
Método de búsqueda eficiente para resolver el problema de identificación de huella dactilar aplicando machine learning
title Efficient Search Method to Solve the Fingerprint Identification Problem by Applying Machine Learning
spellingShingle Efficient Search Method to Solve the Fingerprint Identification Problem by Applying Machine Learning
Ruiz Rivera, María Elena
Huella dactilar
biométrico
aprendizaje automático
búsqueda de huella dactilar
Fingerprint
biometrics
machine learning
fingerprint search
title_short Efficient Search Method to Solve the Fingerprint Identification Problem by Applying Machine Learning
title_full Efficient Search Method to Solve the Fingerprint Identification Problem by Applying Machine Learning
title_fullStr Efficient Search Method to Solve the Fingerprint Identification Problem by Applying Machine Learning
title_full_unstemmed Efficient Search Method to Solve the Fingerprint Identification Problem by Applying Machine Learning
title_sort Efficient Search Method to Solve the Fingerprint Identification Problem by Applying Machine Learning
dc.creator.none.fl_str_mv Ruiz Rivera, María Elena
Ruiz Lizama, Edgar
Ruiz Rivera, María Elena
Ruiz Lizama, Edgar
author Ruiz Rivera, María Elena
author_facet Ruiz Rivera, María Elena
Ruiz Lizama, Edgar
author_role author
author2 Ruiz Lizama, Edgar
author2_role author
dc.subject.none.fl_str_mv Huella dactilar
biométrico
aprendizaje automático
búsqueda de huella dactilar
Fingerprint
biometrics
machine learning
fingerprint search
topic Huella dactilar
biométrico
aprendizaje automático
búsqueda de huella dactilar
Fingerprint
biometrics
machine learning
fingerprint search
description In biometrics technology, the fingerprint identification problem has been widely studied over the last decades due to its applicability in person identification cases. In casualty cases, recognition of the victim is required, which should be done unequivocally using fingerprint identification. The aim of this research is to innovate the fingerprint identification process, developing an efficient search method in a large database that allows finding a fingerprint in less time by classifying fingerprints into segments, according to their closest characteristics, using machine learning. Then, in a given segment, a discrete linear search algorithm is applied, with which the required fingerprint is located.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/20895
10.15381/idata.v24i2.20895
url https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/20895
identifier_str_mv 10.15381/idata.v24i2.20895
dc.language.none.fl_str_mv spa
eng
language spa
eng
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/20895/17737
https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/20895/17738
https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/20895/17739
https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/20895/17740
dc.rights.none.fl_str_mv Derechos de autor 2021 María Elena Ruiz Rivera, Edgar Ruiz Lizama
https://creativecommons.org/licenses/by/4.0/deed.es_ES
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2021 María Elena Ruiz Rivera, Edgar Ruiz Lizama
https://creativecommons.org/licenses/by/4.0/deed.es_ES
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/html
audio/mpeg
audio/mpeg
dc.publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
dc.source.none.fl_str_mv Industrial Data; Vol. 24 No. 2 (2021); 293-317
Industrial Data; Vol. 24 Núm. 2 (2021); 293-317
1810-9993
1560-9146
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
collection Revistas - Universidad Nacional Mayor de San Marcos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 13.940932
Efficient Search Method to Solve the Fingerprint Identification Problem by Applying Machine Learning
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