Abstract:
Here, we normalize the signature image and check if it matches the original signature. System preprocesses images. Changing image to black and white. Image thinning is done by morphing.
Extracting black pixels reveals the characteristic curve. X and Y coordinates of original image are recovered. New co-ordinates are produced and passed to rotate signature. After rotating the image, Signature may leave the border, thus we calculated x and y moving co-ordinates.
The image is cropped last. Theta is obtained during curve calculation and compared to this clipped image. System tests for theta match. For approximate theta values. Results will be displayed. System accuracy is 40%-60% depending on image quality, illumination, and background.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
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