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 Meat Alternatives copyright currency.The study utilizes a dataset consisting of authentic and copyright banknotes, employing various classification algorithms to construct a robust model for automated detection.Key features, including texture, color Collectable Coins distribution, and security attributes, are extracted to train the model, enabling a thorough analysis of banknote authenticity.

The proposed system exhibits promising accuracy in distinguishing genuine currency from counterfeits, thereby enhancing security measures in financial transactions and mitigating economic fraud.