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1、北京联合大学毕业设计（论文）外文原文及译文北京联合大学毕业设计（论文）外文原文及译文题目： 车牌识别及 MATLAB 的介绍 专业： 电子工程 指导教师： 章学静 陈竞圆 学院： 电子系 学 号： 2009080403104 班级： 200908040301 姓 名： 林本存 LPR and MATLAB software is introduced Automatic license plate recognition (LPR) has been a practical technique in the past decades. Numerous applications, such a
2、s automatic toll collection, criminal pursuit and traffic law enforcement , have been benefited from it . Although some novel techniques, for example RFID (radio frequency identification), WSN (wireless sensor network), etc., have been proposed for car ID identification, LPR on image data is still a
3、n indispensable technique in current intelligent transportation systems for its convenience and low cost. LPR is generally divided into three steps: license plate detection, character segmentation and character recognition. The detection step roughly classifies LP and non-LP regions, the segmentatio
4、n step separates the symbols/characters from each other in one LP so that only accurate outline of each image block of characters is left for the recognition, and the recognition step finally converts greylevel image block into characters/symbols by predefined recognition models. Although LPR techni
5、que has a long research history, it is still driven forward by various arising demands, the most frequent one of which is the variation of LP styles, for example: （1） Appearance variation caused by the change of image capturing conditions. （2）Style variation from one nation to another. （3）Style vari
6、ation when the government releases new LP format. We summed them up into four factors, namely rotation angle, line number, character type and format, after comprehensive analyses of multi-style LP characteristics on real data. Generally speaking, any change of the above four factors can result in th
7、e change of LP style or appearance and then affect the detection, segmentation or recognition algorithms. If one LP has a large rotation angle, the segmentation and recognition algorithms for horizontal LP may not work. If there are more than one character lines in one LP, additional line separation
8、 algorithm is needed before a segmentation process. With the variation of character types when we apply the method from one nation to another, the ability to re-define the recognition models is needed. What is more, the change of LP styles requires the method to adjust by itself so that the segmente
9、d and recognized character candidates can match best with an LP format. Several methods have been proposed for multi-national LPs or multiformat LPs in the past years while few of them comprehensively address the style adaptation problem in terms of the abovementioned factors. Some of them only clai
10、m the ability of processing multinational LPs by redefining the detection and segmentation rules or recognition models. In this paper, we propose a configurable LPR method which is adaptable from one style to another, particularly from one nation to another, by defining the four factors as parameter
11、s. Users can constrain the scope of a parameter and at the same time the method will adjust itself so that the recognition can be faster and more accurate. Similar to existing LPR techniques, we also provide details of detection, segmentation and recognition algorithms. The difference is that we emp
12、hasize on the configurable framework for LPR and the extensibility of the proposed method for multistyle LPs instead of the performance of each algorithm. In allusion to the deficiency of the single model location,a new positioning method concerning the license plate，which is based on multi-color mo
13、deIs,has been presented in this paperFirstly,the input image of RGB is transformed into HSV and Y1Q color spaces，from which comprehensive information will be obtainedFurther work can be done：by iIltegrating this information,image segmentation will he able to move out large numbers of disturbing back
14、ground message,leaving those smaller areas(1icense plate itself is included)whose colors are similar to it，pavm the way for license plate location-After that，license plate can be correctly located through the “two-step-location“methodIn the first step,the area to he researched will he reduced greatl
15、y by the help of section thinking which makes coarse positioning come trueIn the second step，the rough located images can be divided into two situations：those in which the color of the target areas of a license plate is quitc different from the non-target area and those in which the color ofthe target area is alike to the non-target In order to locate the ficense plate precisely,the method of color segmentation and that ofedge detection based on Log operator are adopted respectively With the high-speed development of our national economythere are more and more construct in the dom
