2、,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 research in the field of
3、 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 vehicle without the need to install ot
4、her 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 first, then introduces the development of Qt platf
5、orm 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 positioning, character segmentation and character recognition
6、. Finally, this thesis tests the whole system, and proposes ideas of further development.KeywordsImagePositioning;CharacterSegmentation;CharacterRecognition;I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,交通事故等问题已经成为世界各国面临的共同难题,每个国家都毫无例外地承受着不断加剧的交通问题的困扰。全球对交通运输提出了更大更高的要求,智能交通系统是世界各国