Towards Drug Counterfeit Detection Using Package Paperboard Classification

  • Christof Kauba
  • Luca Debiasi
  • Rudolf Schraml
  • Andreas Uhl
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9917)

Abstract

Most approaches for product counterfeit detection are based on identification using some unique marks or properties implemented into each single product or its package. In this paper we investigate a classification approach involving existing packaging only in order to avoid higher production costs involved with marking each individual product. To detect counterfeit packages, images of the package’s interior showing the plain structure of the paperboard are captured. Using various texture features and SVM classification we are able to distinguish drug packages coming from different manufacturers and also forged packages with high accuracy while a distinction between single packages of the same manufacturer is not possible.

Keywords

Drug counterfeit detection Paper structure classification Texture classification 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Christof Kauba
    • 1
  • Luca Debiasi
    • 1
  • Rudolf Schraml
    • 1
  • Andreas Uhl
    • 1
  1. 1.Department of Computer SciencesUniversity of SalzburgSalzburgAustria

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