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
Descripción
Sumario: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.
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