Malaysian Banknotes Counterfeit Detection Algorithm for Ten Ringgit and Twenty Ringgit
Turki Khaled Salem, Wai Kit Wong, Thu Soe Min, Eng Kiong Wong · 2022
The counterfeit problem with Ringgit become a significant challenge especially with nowadays high definition color printing technology. Hence, watermark-based image processing techniques is crucial to the Ringgit counterfeit detection. This paper presents a Malaysian banknotes counterfeit detection algorithm using fuzzy logic and image processing techniques for ten Ringgit and twenty Ringgit. The algorithm will first identify the currency values of the inserted banknote, perform banknotes position detection and re-adjustment, detect the three watermarks (Watermark Portrait, Perfect See-Through Register, and Color Shifting Security Thread) and uses the Fuzzy IF-THEN conditional statements to inference and make decision whether the inserted banknote is a real ten Ringgit, a real twenty Ringgit or none of them.