Robust Automated License Plate and Character Recognition

A robust approach for extracting car license plate from images with complex background and relatively poor quality is presented in this paper. The paper represents the automatic plate localization component of Car License Plate Recognition system and character recognition. 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 all types of license plate 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. The proposed paper provides character recognizer for the identification of the characters in the license plate. 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.