Research On License Plate Location And Character Segmentation In License Plate Recognition System

With the high-speed development of our national economy, there are more and more construct in the domestic expressway, urban road, and parking area, etc. The requisition on the traffic control, safety management improves day by day. The intelligent traffic system (ITS) has already become the main direction of present traffic administration development, and vehicle license plate recognition (LPR) system as core of ITS, plays a very important role. It occupies important role in the project management of expressway, urban road and parking area, etc. Its wide application will contribute to the process of the traffic management automation of our country.The thesis aims at researching the following two aspects in the License Plate Recognition System: license plate location and character segmentation.Concerning the license plate location problem, a location method based on Mathematical Morphology is brought up. First, the license plate image is preprocessed and candidate district is determined. Secondly, the interfered district is excluded. At last, the real license plate region is located. Besides that, the corresponding algorithm is provided.Concerning the character segmentation issue, the method is as follows: First, the license plate location image is preprocessed using tensor voting technology. Secondly, the connected domain algorithm is introduced to segment the characters. At the end, the corresponding algorithms are provided.The algorithm we adopted is not restricted by the location of the plate in the image, and it has strong anti-jamming ability to lean,distortion,pollution and blur. The algorithm is also adaptable to the varieties of circumstance light and image contrast.