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dc.contributor.authorAguado Martínez, Manuel-
dc.contributor.authorHernández Palancar, José-
dc.coverage.spatial7004624en_US
dc.date.accessioned2021-06-30T13:10:31Z-
dc.date.available2021-06-30T13:10:31Z-
dc.date.issued2018-
dc.identifier.citationAguado-Martínez M., Hernández-Palancar J. (2018) Speeding up High Resolution Palmprint Matching by Using Singular Points. In: Hernández Heredia Y., Milián Núñez V., Ruiz Shulcloper J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2018. Lecture Notes in Computer Science, vol 11047. Springer, Cham. https://doi.org/10.1007/978-3-030-01132-1_10en_US
dc.identifier.urihttps://repositorio.uci.cu/jspui/handle/123456789/9448-
dc.description.abstractApplications for palmprints range from civilian scenarios to forensics where palmprints technologies are urgently needed given that they are frequently found in crime scenes. However, for forensic applications, the resolution needed for palmprint images pose a challenging problem due to the factor that matching algorithms are time-consuming. Although widely explored in fingerprints, singular points have not yet received the same attention from palmprint researchers. In this article, an exploratory study is conducted to validate the hypothesis that singular points can be used effectively to speed up palmprint matching systems. Experimentation show how it is possible to accomplish the above while obtaining acceptable recognition rates.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.subjectPALMPRINT MATCHINGen_US
dc.subjectSINGULAR POINTSen_US
dc.subjectBIOMETRICS FORENSICSen_US
dc.titleSpeeding up High Resolution Palmprint Matching by Using Singular Pointsen_US
dc.typeconferenceObjecten_US
dc.rights.holderUniversidad de las Ciencias Informáticasen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-01132-1_10-
dc.source.initialpage87en_US
dc.source.endpage94en_US
dc.source.titleUCIENCIA 2018en_US
dc.source.conferencetitleUCIENCIAen_US
Aparece en las colecciones: UCIENCIA 2018

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