Machine learning-based authentication of banknotes: a comprehensive analysis

Machine learning-based authentication of banknotes: a comprehensive analysis

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This research investigates the utilization of machine learning techniques for the identification and classification of copyright currency.The study utilizes a dataset consisting of authentic Liners and copyright banknotes, employing various classification algorithms to construct a robust model for automated detection.Key features, including texture, color distribution, and security attributes, are extracted to train the model, enabling a thorough analysis of banknote Engraved Stainless Steel Keychain authenticity.The proposed system exhibits promising accuracy in distinguishing genuine currency from counterfeits, thereby enhancing security measures in financial transactions and mitigating economic fraud.