Currency Authenticator Using Image Processing
Nur Aifiah Binti Ibrahim, Shah Alam · International Journal of Research Publication and Reviews · 2025
The advancement of color printing technology has made counterfeiting currency easier, leading to a significant rise in fake notes and negatively impacting India's economy.Previously, counterfeiting required specialized print houses, but now, with high-resolution laser printers, anyone can produce fake currency with remarkable accuracy.To address this issue, an efficient and rapid fake currency detection system is proposed, utilizing image processing and machine learning techniques.The system extracts essential features from currency notes and uses OpenCV, Image Segmentation for further verification.Edge detection techniques help identify key patterns, lines, and curves that differentiate genuine notes from counterfeit ones.A trained detector, using pre-stored data set and compares scanned notes with dataset to detect discrepancies.By matching test notes to trained templates, the system determines their authenticity.Given India's heavy reliance on paper currency, this detection system is crucial in preventing financial fraud and strengthening economic security.The proposed approach/prototype is not only simple but also highly efficient in detecting counterfeit currency.Its rapid processing speed ensures widespread applicability, making it an essential tool in combating fake currency circulation in the country.