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http://dx.doi.org/10.5392/JKCA.2018.18.10.431

An Effective Detection of Print Image Forgeries Based on Modeling of Color Matrix : An Application to QR Code  

Choi, Do-young (한밭대학교 정보통신전문대학원)
Kim, Jin-soo (한밭대학교 정보통신전문대학원)
Publication Information
The Journal of the Korea Contents Association / v.18, no.10, 2018 , pp. 431-442 More about this Journal
Abstract
2-dimensional barcode, QR code has been used for containing various information such as image, video, map, and business cards. Currently, a smartphone is used as a QR code scanner, displaying the code and converting it to a standard URL for a website. However, QR codes are not very common in encrypted application and so have a few applications. This paper proposes a new color-code, which integrates the conventional QR code and color design, and can be effectively used in some product certification system. The proposed method exploits the fact that genuine code is produced by CMYK color model, but the counterfeit is captured by RGB color model and during this process, color information of the code is changed. This paper introduces the color matrix model to measure the distortion between genuine code and counterfeit code. By investigating the statistical characteristics of color matrix, an effective detection of print image forgeries are designed. Various experiments with color codes show that the proposed system can be effectively used in product certification systems.
Keywords
Color Matrix; Product Certification; QR Code;
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