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 Ten Ringgit and Twenty Ringgit. In: 2022 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS), 25 June 2022, Shah Alam, Malaysia.

Text Malaysian_Banknotes_Counterfeit.pdf - Published Version Restricted to Repository staff only Download (5MB)

Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Image Processing, Circuit and System, Banknote Counterfeit, Banknote Reader, Ringgit Detector
Subjects:	H Social Sciences > HG Finance > HG1501-3550 Banking
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	25 Nov 2022 02:29
Last Modified:	25 Nov 2022 02:29
URII:	http://shdl.mmu.edu.my/id/eprint/10314

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