Recognition of Mexican banknotes via their color and texture features

  • Authors:
  • Farid García-Lamont;Jair Cervantes;Asdrúbal López

  • Affiliations:
  • Universidad Autónoma del Estado de Hidalgo, Escuela Superior de Tizayuca, Carretera Federal Pachuca - Tizayuca km 2.5, CP 43800, Tizayuca, Hidalgo, Mexico;Universidad Autónoma del Estado de México, Av. Jardín Zumpango s/n, Fraccionamiento El Tecojote, CP 56259, Texcoco-Estado de México, Mexico;Centro de Investigación y de Estudios Avanzados del IPN, Departamento de Computación, Av. Instituto Politécnico Nacional 2508, San Pedro Zacatenco, CP 07360, México DF, Mexico

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2012

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Abstract

In this paper it is introduced a recognition method for Mexican banknotes by using artificial vision. It is shown that the Mexican banknotes can be classified by extracting their color and texture features, with the RGB space and the Local Binary Patterns, respectively. We show the classification results performed with the current Mexican banknotes. We state that the proposed method can be applied to recognize banknotes of other countries which employ colors to distinguish the denominations.