臺灣博碩士論文加值系統

　　車輛的管理包括了車流管制車輛犯罪防治和車輛違規處罰。隨著民眾生活水準的提升，台灣汽、機車的數量不斷攀升，政府不遺餘力地規劃交通流動運輸網，重點路口交通狀況監視及整治汽機車停放管理。然而想要落實交通方案的執行，對違規者必須給予處罰，對使用停車空間者收取規費，此時就得仰賴車牌辨識系統。
　　本研究以不特定環境因素下的車牌定位為主題。由於車牌辨識的首要之作在於車牌定位，一經確認車牌的範圍（四個邊界及傾斜角度），後續字體的分割及字體的辨識均可迎刃而解。本研究以邊緣偵測和形態學運算影像處裡方法，結合車牌的幾何特徵尋找車牌的可能候選區域。從318張戶外的拍攝的不固定距離、角度、氣候陰晴、白日夜晚的影像所得實驗結果，車牌定位的成必v為95%。

　　The vehicle management consists of traffic flow control, vehicle crime preventing and the punishment in the violation on vehicle’s rules and regulations. With the improvement of living level in Taiwan, the quantity of vehicle and motorcycle is constantly increasing, and the government has been devoting its effort to plan an efficient transport network, to monitor the traffic at the key crossings and the management of parking lots. However practicable the execution of the traffic scheme runs, it is necessary to apply the license plate recognition on the punishment to the violator who doesn’t obey traffic rules and the automatic charge system for vehicle parking.
　　In this thesis, the study is orientated on the license plate detection under the common climatic environment. Generally speaking, the license plate detection is the primary and first job in the license plate recognition. As the border of the license plate is distinguished from the background, the follow-up character segmentation and character recognition are easily conducted. This study applies edge detection and morphology method to find the possible candidate area with the help of the geometry characteristic of the license plate.
　　There are 318 car images used to test the functionality of the proposed method, which were captured outdoors at different distance, different capture angles and azimuths, and at day and night. The experimental result shows the proposed method can achieve the correct license detection of 95% at best.

中文摘要
英文摘要
誌謝
目錄
圖目錄
表目錄
第一章　緒論
1.1　研究動機
1.2　文獻回顧
1.3　論文架構
第二章　車牌定位之影像處理技術
2.1　色彩轉換
2.2　二值化
2.3　遮罩運算
2.4　形態學處理
2.5　標記連通成分
第三章　車牌定位
3.1　前置處理
3.2　產生特徵圖
3.3　定位出車牌區域
3.4　重新判定車牌區域
第四章　實驗與討論
4.1　車牌影像來源
4.2　建立影像資料庫
4.3　車牌定位之實驗結果
4.3.1　第一階段定位結果
4.3.2　第二階段定位結果
第五章　結論
參考文獻

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