Malaysian Banknotes Counterfeit Detection Algorithm for Fifty Ringgit and One-hundred Ringgit
Turki Khaled Salem, Wai Kit Wong, Thu Soe Min, Eng Kiong Wong · 2022
With the advent of high-definition color printing technology, the counterfeiting of Ringgit has become a formidable obstacle. Therefore, image processing techniques based on watermarks are vital for detecting counterfeit Ringgit. The fifty Ringgit and one hundred Ringgit counterfeit detection algorithms proposed in this work use fuzzy logic and Ultraviolet image processing techniques. The algorithm will first determine the inserted banknote’s currency values, perform banknote position detection and re-adjustment, locate Ultraviolet watermarks (Rectangle Text "BNM50" or "BNM100", Logo "Stag Motif", and Security Fibers) and then employ fuzzy IF-THEN conditional statements to infer and decide whether the slotted in banknote is a real fifty Ringgit, a real one hundred Ringgit, or neither.