Model And License Plate Recognition System To Achieve

The project is supported by the Innovation Foundation of Excellent Intellectual in HeNan Province.It will be imperative under the situation that we build more and more speedways to realize the vehicle identification and intelligent management. The ETC ( No Stop Electronic Toll Collection System )based on noncontact IC card as the representative of the automatic toll collection improves the traffic capacity and service level efficiently.The vehicle style and the license plate recognition system is the important part of the system of the automatic charging in speedway toll stations. Based on the technology of recognizing images and characters, the vehicle style and license plate recognition system is one of the focused researches on the application of pattern recognition home and abroad.Some new algorithms and methods are introduced comprehensively in such stages as images preprocessing, feature extraction , character recognition and vehicle style recognition. Meanwhile, some key technologies are discussed in detail according to the current research status quo.It lays foundation for the whole No Stop Electronic Toll Collection System to march into the practical period, it also propels the popularity of this special toll collection in our country. The ETC has great economical and social profit.The thesis mainly fulfills such assignments as follows:Firstly, the method of two images' subtraction is used to recognize the vehicle style, it can so extract the car's silhouette that the length, the width and the height ofthe vehicle thus can be calculated, which specifies the vehicle style.Secondly, based on the characteristic that vehicle license plates have plentiful edge information, the method of fuzzy template matching is carried out to locate the vehicle license plate, which has high location ratio.Thirdly, the method of characters preprocessing is discussed in detail. The method of silhouette projection is used to segment characters.Fourthly, the method of linear interpolation is applied in order that the mosaic phenomenon brought out by size normalization should be overcome, moreover, twotypes of character size are used because of Chinese characters'and letters'different stroke density.Fifthly, it introduces two kinds of statistical feature extraction methods, one is the gridding feature, the other is the crossing feature, the minimum-distance-matching algorithm is used in the recognition system of characters.Sixthly, when recognizing the approximate one hundred different characters, a high premium on their priority is put considering the regular character arrangement in the vehicle license plate.Finally, the fusion model is put forward, which combines the recognition results of the vehicle style with those of the license plate systematically and enhances the precision of vehicle recognition, it also accomplishes the pertinent fusion algorithm design.