2、割和字符识别的原理与实现，最后对系统进行了整体的测试，并提出进一步开发设想。关键词图像定位；字符分割；字符识别；AbstractLicense Plate Recognition System plays an important role in traffic surveillance and control as an important part of the intelligent transportation system, has become the focus and hotspot of
3、research in the field of modern traffic engineering. License Plate Recognition technology combines scientific technologies such as image processing, computer vision, pattern recognition and artificial intelligence, the aim is to automatically control the ve
4、hicle without the need to install other special equipments, and thus to provide automated traffic management system convenience.This thesis describes the development of license plate recognition system, the present situation and the overall build in the fir
5、st, then introduces the development of Qt platform and cross-platform visual OpenCV library, and makes a presentation of how to configure the OpenCV under Win7 Qt development environment. This article focuses on the principles and implementation of image p
6、ositioning, character segmentation and character recognition. Finally, this thesis tests the whole system, and proposes ideas of further development.KeywordsImagePositioning;CharacterSegmentation;CharacterRecognition;47前言随着现在经济的发展和城市进程加快，汽车数量迅速增长，交通拥挤，交通事故等
