Signature Classification: Manual vs Machine Learning
This study presents a comparative analysis of manual and machine learning techniques for distinguishing between real and forged signatures. It highlights the accuracy, efficiency, and forensic relevance of both approaches, offering insights into their implications for document examination and legal authentication.
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