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This tutorial demonstrates a signature verification system using various image processing techniques. The process involves normalizing the image, converting it to grayscale, thinning edges, and checking for rotation. To account for potential displacement after rotation, moving coordinates are calculated. The system provides 40 to 80 percent accuracy depending on factors such as image quality, lighting, and canvas values. This concludes the demonstration of the signature verification system.