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Adaptive license plate image extraction

The paper represents the automatic plate localization component of a Car License Plate Recognition system. The approach concerns stages of preprocessing, edge detection, filtering, detection of the plate's position, slope evaluation, and character segmentation and recognition. Single frame gray-level images are used as the only source of information. In the experiments Israeli and Bulgarian license plates were used, camera obtained at different daytime and whether conditions. The results derived have shown that the approach is robust to illumination, plate slope, scale, and is insensitive to plate's country peculiarities. These results could be also usable for other applications in the input-output transport systems, where automatic recognition of registration plates, shields, signs, etc., is often necessary.