Classification of mexican paper currency denomination by extracting their discriminative colors

Please use this identifier to cite or link to this item: http://ri.uaemex.mx/handle20.500.11799/41190

Title:	Classification of mexican paper currency denomination by extracting their discriminative colors
Keywords:	Banknotes recognition;color classification;image processing;info:eu-repo/classification/cti/7
Publisher:	Springer
Project:	10.1007/978-3-642-45111-9_35;
Description:	In 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. Proyecto PROMEP 103.5/13/6535
Other Identifiers:	http://hdl.handle.net/20.500.11799/41190
Rights:	info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0
Appears in Collections:	Producción

Check

DSpace CRIS