汽車(chē)號(hào)牌識(shí)別系統(tǒng)畢業(yè)設(shè)計(jì)

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目 錄
摘要 II
Abstract III
第一章 汽車(chē)號(hào)牌識(shí)別技術(shù)介紹 1
1.0 引言 1
1.1 汽車(chē)號(hào)牌識(shí)別系統(tǒng) 1
1.1.1 汽車(chē)號(hào)牌識(shí)別系統(tǒng)簡(jiǎn)介 1
1.1.2 車(chē)牌識(shí)別技術(shù)發(fā)展與研究現(xiàn)狀 2
1.1.3 識(shí)別系統(tǒng)中應(yīng)用的技術(shù) 3
1.2 汽車(chē)號(hào)牌識(shí)別系統(tǒng)的應(yīng)用 5
1.2.1 汽車(chē)號(hào)牌識(shí)別系統(tǒng)于智能交通系統(tǒng)的應(yīng)用 5
第二章 基于ARM平臺(tái)的硬件設(shè)計(jì) 6
2.1 Cortex M3單片機(jī)簡(jiǎn)介 6
2.2 單片機(jī)系統(tǒng)的硬件介紹 6
第三章 基于ARM平臺(tái)的軟件設(shè)計(jì)及算法介紹 9
3.1 軟件運(yùn)行的流程框圖 9
3.2 各步驟程序詳解 10
3.2.1初始化系統(tǒng) 10
3.2.2 主界面 10
3.2.2.1拍照 10
3.2.2.2圖片瀏覽與圖像識(shí)別 11
3.2.2.3 圖像處理 13
第四章 方案驗(yàn)證 17
4.1拍攝后原圖 17
4.2 經(jīng)過(guò)灰度均衡二值化后的圖像 17
4.3經(jīng)過(guò)膨脹處理后的圖像 18
4.4 經(jīng)過(guò)提取邊框，字符分割，字符歸一化后的圖像 18
4.5 最終輸出結(jié)果 19
結(jié)論 20
附錄1：致謝 21
附錄2：參考文獻(xiàn) 22
附錄3：各步驟算法程序 24
附錄4：硬件原理圖 35


摘要 汽車(chē)號(hào)牌識(shí)別技術(shù)是實(shí)現(xiàn)智能交通系統(tǒng)的關(guān)鍵技術(shù)，對(duì)交通事業(yè)的發(fā)展起著十分重要的作用，進(jìn)而影響的經(jīng)濟(jì)發(fā)展速度及人們的生活質(zhì)量。車(chē)牌識(shí)別系統(tǒng)運(yùn)用圖像采集技術(shù)、圖像識(shí)別算法，能夠?qū)崟r(shí)準(zhǔn)確地識(shí)別出車(chē)牌的數(shù)字、字母及漢字字符，進(jìn)而實(shí)現(xiàn)電腦化監(jiān)控和管理車(chē)輛。識(shí)別系統(tǒng)的軟件則是由具有車(chē)牌識(shí)別功能的圖像分析和處理軟件，以及能夠具體滿(mǎn)足應(yīng)用需求的后臺(tái)管理軟件組成。車(chē)牌識(shí)別系統(tǒng)主要分為圖像預(yù)處理、車(chē)牌定位、字符分割和字符識(shí)別等主要步驟。
針對(duì)不同的步驟,本文研究分析了現(xiàn)有的理論算法,并提出了具有實(shí)際應(yīng)用意義的解決方案。 1.在圖像預(yù)處理模塊,因?yàn)槿搜蹖?duì)于不同顏色分量的敏感度不同,圖像灰度化采用加權(quán)平均值法；二值化過(guò)程中閾值的選取至關(guān)重要,本文采用恒定閾值法,效果理想；去噪過(guò)程采用的是膨脹腐蝕算法以及噪點(diǎn)去除算法；2.車(chē)牌定位采用固定圖像位置定位，主要適用于汽車(chē)收費(fèi)站，停車(chē)場(chǎng)等車(chē)輛位置固定的場(chǎng)所； 3.在車(chē)牌字符分割模塊,使用了垂直投影分割法,該方法基于車(chē)牌的垂直投影,能夠?qū)⒆址麥?zhǔn)確的分割開(kāi),利于車(chē)牌字符識(shí)別: 4.本文對(duì)車(chē)牌數(shù)字和車(chē)牌字母采用統(tǒng)一的處理方法,數(shù)字字母識(shí)別采用提取邊框區(qū)域，分割單位矩形，各系數(shù)統(tǒng)計(jì)計(jì)數(shù)，數(shù)據(jù)綜合計(jì)算，字庫(kù)比對(duì)識(shí)別;根據(jù)上述方法原理,基于ARM開(kāi)發(fā)平臺(tái)進(jìn)行軟硬件設(shè)計(jì),編寫(xiě)了車(chē)牌識(shí)別軟件，并下載驗(yàn)證。

關(guān)鍵字：攝像頭：車(chē)牌圖像；圖像預(yù)處理；字符分割；字符識(shí)別；ARM單片機(jī)


License Plate Recognition System
Abstract car number plate recognition technology is the key technology of intelligent transportation system ,and plays a very important role in the development of transport ,thus affect the pace of economic development and quality of life . using image acquisition , image recognition algorithm,License plate recognition system can accurately identify the real-time license plate numbers, letters and Chinese characters , thus achieving monitoring and management the vehicle by computer . Identification system software is consist of the license plate recognition software,which can analysis and deal with image , and backstage management software that have the ability to meet specific application requirements. License plate recognition system is divided into image preprocessing , license plate location, character segmentation and character recognition.
For different steps , this paper analyzes the existing theory and algorithms, and proposed solutions to practical application significance . 1 In the image pre-processing module , because of the different sensitivity of the human eye for different color components , grayscale images using the weighted average method ; the process of selecting the binary threshold is crucial , we use a constant threshold method and get the desired effect ; denoising algorithm and corrosion expansion algorithm are used in the denoising process ; 2 license plate location using a fixed image location positioning, primarily for automotive toll stations, car parks and other vehicle position fixed place ; 3 in license plate character segmentation module , using the vertical projection segmentation method , which is based on the license plate of the vertical projection , can accurately separate the characters , conducive to the license plate character recognition : 4 this article license adopt a unified approachplate for the numbers and letters of lcense plate , Dgital character recognition adopt extractng border area , segment unit rectangul,statistic and count every coefficients, the ntegrated computaton of data ; according to the principle of the method , based on the ARM development platform for hardware and software design , write the license plate recognition software , and download verified.

Key words : camera : the license plate image ; image preprocessing ; character segmentation ; character recognition ; ARM microcontroller