Signature verification is a crucial process in authenticating identities and ensuring document integrity, widely used in banking, legal, and other security-sensitive domains. This project focuses on developing a robust and efficient signature verification system using advanced machine learning and image processing techniques. The system is designed to automatically verify the authenticity of handwritten signatures by analyzing unique patterns, strokes, and features.