摘 要:随着社会经济的发展,公路交通事业成为了成为了急需发展提高的行业。汽车牌照的文字分割与识别可以实现对公路交通事业的改进和提高[1]。本文所采用的方法首先是结合实测图像进行预处理,接着对车牌定位和分割,从而进行车牌字符的分割和识别,最后进行模拟仿真在MATLAB软件中。本文选取图像灰度进行处理、罗伯茨边缘化处理阈值分割的方法、模板匹配等方法,从而实现了对汽车牌照的文字分割与识别。采用的MATLAB进行仿真。仿真的结果表明本文选取的分割识别方法是合理的并对公路事业的发展提高有所帮助的。37680 毕业论文关键词:车牌定位;文字分割;文字识别;字符轮廓
Car License Plate Character Segmentation and Recognition
Abstract :With the development of society and economy, road transport has become a much-needed career became the development and improvement of the industry. Of car license plate character segmentation and recognition can be achieved on the cause of highway traffic improvement and improve. In this paper, combined with the image preprocessing, license plate positioning segmentation, character segmentation and recognition of simulation programs in MATLAB. This article selects the image gray processing, Roberts operator marginalized processing threshold segmentation, template matching vehicle license identification method to achieve the segmentation and recognition. Using MATLAB simulation. The simulation results show that the segmentation recognition method chosen is to develop reasonable cause and road improvement helpful.
Key Words:License plate location; text segmentation; Character recognition; Character outline
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