A new methodology for detection of counterfeit Viagra® and Cialis® tablets by image processing and statistical analysis.

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.