Citation

Salem, Turki Khaled and Wong, Wai Kit and Min, Thu Soe @ M Sait and Wong, Eng Kiong (2022) Malaysian Banknotes Counterfeit Detection Algorithm for Fifty Ringgit and One-hundred Ringgit. In: 2022 International Visualization, Informatics and Technology Conference (IVIT), 1-2 Nov 2022, Kuala Lumpur, Malaysia.

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Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Image Processing , Intelligence System , Banknote Reader , Banknote Counterfeit , Ringgit Detector
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	28 Mar 2023 06:38
Last Modified:	28 Mar 2023 06:38
URII:	http://shdl.mmu.edu.my/id/eprint/11274

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