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In this signature verification system tutorial, yogi demonstrates the process. The image is first normalized and converted to grayscale. Morphing technology thins the image edges, followed by rotation checking. Moving coordinates of X and Y are calculated to prevent the signature from bouncing. The system displays results based on data values. SAS provides 40 to 80 percent accuracy, depending on image quality, lighting, and Kamis values. Overall, the system works effectively as a signature verification system.