基于matlab的車牌定位系統(tǒng)的研究與設計畢業(yè)設計-全文預覽
【正文】 。因此，車牌的準確定位變得更加重要，準確的車牌定位是這種交通管理技術手段的實現(xiàn)基礎，準確的定位車牌可以有助于全面地、實時地了解交通網(wǎng)的狀況，以便快速的作出相關措施，極大地提高了效率。車牌識別系統(tǒng)的成功設計、開發(fā)和應用具有相當大的社會效益、經(jīng)濟效益和學術意義。智能交通系統(tǒng)是交通事業(yè)發(fā)展的必然選擇，是交通事業(yè)的一場革命。License車牌定位算法的關鍵是選用合適的結構元素，對車牌圖像進行數(shù)學形態(tài)學開、閉運算來去除干擾因素、消除噪音和無用信息，簡單直觀，受環(huán)境干擾少。本文對車牌定位算法和字符分割方法作出研究和闡述，針對車牌的特點提出了一套簡單的車牌定位和字符分割算法。基于Matlab的車牌定位系統(tǒng)的研究與設計本科畢業(yè)設計基于Matlab的車牌定位系統(tǒng)的研究與設計 摘 要隨著我國城市急速發(fā)展，交通管理成了一個非常熱門的話題，由于交通管理需求日益提高，對交通管理和控制提出了更高的要求。車牌識別軟件系統(tǒng)一般分為三部分：車牌定位、字符分割和字符識別。利用MATLAB強大的圖像處理能力，通過編寫程序，對車輛圖像進行統(tǒng)計分析，實現(xiàn)了這兩個部分的功能。OnSystemZhou Rujie(College of Engineering, South China Agricultural University, Guangzhou 510642,China)Abstract: With the rapid development of our country city, traffic management has bee a very hot topic, due to traffic management and increasing demand, put forward higher request to the traffic management and control. The traffic management system in intelligent, license plate recognition technology (License Plate Recognition, LPR) is an important technology of vehicle identification and monitoring, play a very important role in the city vehicle management. License plate recognition technology is widely used in road illegal vehicle monitoring, parking management, vehicle safety management. License plate recognition software system is divided into three parts: license plate location, character segmentation and character recognition. This paper makes research and discusses the algorithm of license plate location and character segmentation method, according to the characteristic of license plate of a vehicle license plate location and character segmentation of simple algorithm is proposed.License plate location part uses the method of mathematical morphology, is realized by the following steps: first use the radon function to skew detection and correction of the image, and mathematical morphology processing by gray and edge detection, then can be carried out, finally is the extraction of license plate region. Character segmentation is made using projection method, analysis of pixel vertical projection histogram, with each character trough, wave and plate custom standards to divide each character. Using image processing capabilities of the MATLAB, through the preparation process, statistical analysis of vehicle image, to achieve the functions of two parts.The key of this method is the selection of appropriate structure elements, the license plate image mathematical morphology open, close operation to remove the interference factors, eliminating the noise and useless information, simple and intuitive, less interference by the environment. Through the experiment, in this paper, license plate localization algorithm and character segmentation method can achieve good effect.Key words: license plate location character segmentation mathematical morphology projection目 錄1前言 1 研究背景 1 車牌定位的發(fā)展現(xiàn)狀 1 本課題研究內(nèi)容 2 論文結構 32 方案確定 33 車牌定位算法 4 算法流程 4 旋轉校正 5 圖像灰度化 6 邊緣檢測 7 數(shù)學形態(tài)學處理 9 車牌提取 12 實驗測試和分析 14 本章小結 144 字符分割 14 車牌區(qū)域預處理 15 去除邊框 15 字符分割 16 本章小結 175 總結與展望 18 總結 18 展望 18參 考 文 獻 20附 錄 21致 謝 25華南農(nóng)業(yè)大學本科生畢業(yè)設計成績評定表I1 前言 研究背景面對當今世界全球化、信息化發(fā)展趨勢，傳統(tǒng)的交通技術和手段已不適應經(jīng)濟社會發(fā)展的要求。車牌識別技術可應用于道路交通監(jiān)控、交通事故現(xiàn)場勘察、交通違章記錄、小區(qū)停車場系統(tǒng)等方面，為智能交通管理提供了高效、快速、實用的手段。雖然交通網(wǎng)絡非常復雜，但通過監(jiān)控車牌就可以實現(xiàn)交通信息的收集統(tǒng)計，使管理工作和難度大幅度減少。 車牌定位的發(fā)展現(xiàn)狀目前，國內(nèi)外車輛車牌識別系統(tǒng)主要采用軟硬結合的技術方案。車牌定位的目的是將車牌所在的區(qū)域完整地從待定位圖像中提取出來，進而執(zhí)行字符分割和識別。有基于邊緣檢測和形態(tài)學處理的車牌定位、基于彩色分割的車牌定位方法、基于小波變換的車
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