Abstract
Counterfeit notes are a significant problem faced by economies worldwide, as they not only disrupt the monetary system but also undermine trust in the financial system. In recent years, advances in technology have led to the development of sophisticated methods for detecting counterfeit currency. One such method is pattern recognition, which involves the use of software algorithms to analyse the visual characteristics of banknotes and identify patterns that indicate the authenticity of the note. This paper discusses the identification of counterfeit notes using pattern recognition and explores the effectiveness of this method in detecting counterfeit currency.
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