Sudanese license plate identification using automatic number plate recognition

Automatic Number Plate Recognition (ANPR) is one of the important research topics in the intelligent systems. Providing information about the vehicle and its owner details. ANPR system plays an important role in intelligent transportation system where it is used in detecting stolen vehicles, traffic and parking access control system, etc. The automatic identification system on the number plate was developed for the analysis and control of mobile vehicles in cities. In this paper, we review the stages and steps of action using ANPR technique of image input, pre-processing, edge setting, image splitting, image recognition. To capture images a camera was used, and in the preprocessing phase, some filters were applied to enhance the image and set it up for the next stage. Morphological processes were applied to the edges, Division the region property was used, and in the process of identifying the contents of the image, the pattern matching technology was used. Based on the previous studies, the researchers provide a tool to extract the numbers of electronic plates. The experiment was tested about 33 samples of Sudanese car plates, and the results show that the model can successful with 90.06% in the extraction of plate numbers with high efficiency.