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Please use this identifier to cite or link to this item: http://ri.uaemex.mx/handle20.500.11799/41190
DC FieldValueLanguage
dc.creatorJair Cervantes Canales-
dc.creatorFarid García Lamont-
dc.creatorASDRUBAL LOPEZ CHAU-
dc.creatorLisbeth Rodríguez Mazahua-
dc.date2013-
dc.identifierhttp://hdl.handle.net/20.500.11799/41190-
dc.descriptionIn this paper we describe a machine vision approach to recognize the denomination classes of the Mexican paper currency by extracting their color features. A banknote’s color is characterized by summing all the color vectors of the image’s pixels to obtain a resultant vector, the banknote’s denomination is classified by knowing the orientation of the resulting vector within the RGB space. In order to obtain a more precise characterization of paper currency, the less discriminative colors of each denomination are eliminated from the images; the color selection is applied in the RGB and HSV spaces, separately. Experimental results with the current Mexican banknotes are presented.-
dc.descriptionProyecto PROMEP 103.5/13/6535-
dc.languageeng-
dc.publisherSpringer-
dc.relation10.1007/978-3-642-45111-9_35;-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0-
dc.source0302-9743-
dc.source978-3-642-45110-2-
dc.subjectBanknotes recognition-
dc.subjectcolor classification-
dc.subjectimage processing-
dc.subjectinfo:eu-repo/classification/cti/7-
dc.titleClassification of mexican paper currency denomination by extracting their discriminative colors-
dc.typebookPart-
dc.audiencestudents-
dc.audienceresearchers-
item.grantfulltextnone-
item.fulltextNo Fulltext-
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