交通運輸建設為國家建設重要一環，原因在於國家之經濟等層面的運作都需要交通來完成。因此，利用成熟的電子、資訊、網路技術來建構「智慧型運輸系統」(Intelligent Transportation System, ITS)。發展ITS主要目的是希望改善交通、減少交通擁擠、降低交通肇事。本論文之目的在於利用影像處理與機器視覺之相關技術發展一套車牌辨識系統來成為智慧型運輸系統基礎。

本論文所提出之車牌辨識系統在於車牌定位成功率有顯著的效果。利用影像前處理之邊緣
偵測，二值化，形態學，投影法來搜尋車牌在影像中的位置且獲得良好的車牌定位率。

實驗部份，以全天候環境下如：拍攝遠近，角度，室內戶外，光線強弱等所得的車輛影像以進行定位與辨識。實驗結果部份，初次進行定位成功率可達92%再次進行車牌定位其成功率為100%，字元辨識達92%。

The development of transportation is very important to a development country because the manipulation of economy need to depend it to propitious operation. Therefore, to build the Intelligent Transportation System (ITS) by means of electronic with information, network. The purpose of the ITS is to improve traffic efficiency and decrease traffic crowded and protect traffic accident. The thesis is to combine techniques of image processing and machine vision to build a license plate recognition system for ITS.

The thesis propose a satisfactory strategic to improve license plate detection efficiency. By means of edge detection, binary, morphology and projection to detect the license plate and achieve pretty result.

Experiments to detect license plate and character recognition in variable environment for distance, angle, indoor, outdoor and lights. The result is 92% for first license plate detection , 100% for more license plate detection and 92% for character recognition.

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