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A new methodology for detection of counterfeit Viagra® and Cialis® tablets by image processing and statistical
Claudio R Jung1, Rafael S Ortiz, Renata Limberger
1Institute of Informatics - Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves, 9500, 91501-970 - Setor IV, Porto Alegre, RS, Brazil. crjung@inf.ufrgs.br
Abstract:
This paper proposes a new approach for automatic classification of counterfeit Viagra(®) and Cialis(®) tablets using image processing and statistical analysis. A high resolution VSC 5000 is used for image acquisition in a controlled environment, and the combination of a thresholding technique with morphological operators is used to segment the tablet from the background. A statistical model based on the RGB color components of original samples is built, and the detection of counterfeit tablets was performed by checking the adherence of a test sample to the obtained distribution using the Bhattacharyya distance. Our experimental results indicated that counterfeit tablets can be effective detected using the proposed approach.
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