Design and Recognition of Cigarette Anti-counterfeiting Code Based on OpenCV

• Published in: 2023 IEEE 5th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) pp. 307 - 312
• Main Authors: Liang, Tengfei, Zhang, Gefu, Duan, Zhiqiang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.10.2023
• Subjects: Cigarette anti-counterfeiting code; Codes; Computational vision; Decoding; Image edge detection; Industries; Opencv pattern recognition; Plastic films; Printing; Visualization
• DOI: 10.1109/ICCASIT58768.2023.10351542

How to effectively implement the tobacco monopoly industry supervision system, and prevent fake cigarettes and private cigarettes from entering the market, is a complex problem involving many factors. This paper proposes a method of printing a unique anti-counterfeiting code on the plastic film of the cigarette outer packaging, and judging the authenticity of the cigarette by image recognition of the anti-counterfeiting code. Using OpenCV technology, the image is processed by median filtering, edge detection and corner detection, and the region of interest of the image is determined. Through affine transformation, contour detection, block processing and other operations on the region of interest, the mark is located and identified. Finally, by decoding the anti-counterfeiting code, the relevant data of the cigarette are obtained, and the authenticity of the cigarette is judged. This method can realize automatic recognition and decoding of anti-counterfeiting codes, which is simple and effective, and provides a new technical means for anti-counterfeiting in the tobacco industry.