License Plate Recognition Source Code C ##TOP##

The algorithm proposed in the paper includes several steps which are performed on the license plate in the following order: 1) corner detection, 2) license plate detection, 3) character recognition, 4) character segmentation, and 5) character orientation.

Corner detection is used to detect the corners of the license plate border. The corners of the license plate are of special importance as they contain the full image of the license plate itself. Each corner is a point where the angle between the line to the left and right of the corner is 90 degrees. A typical image of a corner is shown in Figure 1. The image is a 32x32 pixel region from the center of a license plate in a vehicle. This figure shows that the left, top, and right corners are found. The center is the middle point of the license plate. Each corner is noted by the distance from the center point, and a table is created to record these values. To find the corners, the Roberts operator [24] is used. The Roberts operator is:

The first thing that is needed is an image that has a strong contrast between the background and the license plate. The next step is to check the corners of the image. The corners of the image need to be highlighted as the license plate is a rectangle. It is necessary to find the corners of the image, and then to calculate the distance of the corners from the center of the image. A simple way to do this is to set the image up to 32x32 pixels with the center of the image at position 0,0. The next step is to use the Roberts operator to calculate the distance of all the corners from the center of the image. The first row that contains four corners is determined to be the first row of the license plate. The table of values is then set up to record the values of the corners in the table. The next step is to check all the neighbors of the corners to see if they are corners or not.

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