DE-FAKE: Counterfeit currency detection
Keywords:
Counterfeit currency detection, Image Analysis, Anti-counterfeiting technology, Security, Economy.Abstract
To protect global markets against possible harm, forgery detection mechanisms need to be improved as the problem of forgery is getting worse. This paper describes a mobile application that utilises the fact that modern mobile devices are equipped with several sensors, such as LIDAR, ultraviolet (UV), infrared (IR), and Time-of-Flight (ToF) as well as spectral imaging to avoid or enhance currency forgery detection and prevention tools. The mobile application intends to authenticate bank notes on a real-time basis by making use of Orientated FAST and Rotated BRIEF (ORB), colour histogram analysis, anomaly detection, and size and dimension measurements which are more precise. This research uncovers a theoretical basis and practical issues related to merging these technologies as a step toward resolving the overarching problem of building efficient mobile applications for currency forgery detection. By leveraging these embedded sensors and advanced image analysis techniques, the solutions aim to provide a fast, scalable and user-friendly approach to detecting counterfeit currency. This paper is going to discuss the feasibility and challenges of developing a hybrid system for the detection of counterfeit currency.
DOI: https://doi.org/10.24321/3051.4304.202603
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