【正文】 algorithm, and increases recognition accuracy of the system. This article also uses the system’s using video image frame sequence and image source data of multiple frames to propose a quality feedback module, which can detect the result of a license plate recognition. We set up multiple evaluation parameters in the system during the middle of every espects and design the evaluation the system recogned the license plate,the evaluation function uses the evaluation parameters to judge the accuracy of the result of the accuracy below a set value,the system will go back to the link of selecting right image from the video image frame sequence. If not, the function believe the result is right. Since the vehicle license plate roughly location algorithm the article proposed before, the system’s putation time is shorter and the background interference is reduced which can increase recognition accuracy to some can guareantee to add to system will increase little putation burden.In general, the plexer the algorithm’s putation,the higher the algorithm’s accuracy and the slower its putation speed. In this paper, we also put the proposed methods or algorithm pared with other traditional methods and found the way to achieve a reasonable balance of both of the system putation speed and the system’s accuracy. Key Words: Intelligent Transportation Systems, License Plate Recognition System， Detect ion Dot Matrix, Quality Feedback Module目錄第 1 章 緒論 ......................................................................................................................1 背景及意義 .......................................................................................................1 基于視頻的車牌識別技術(shù)研究現(xiàn)狀 ...............................................................1 系統(tǒng)常用技術(shù)發(fā)展現(xiàn)狀 ............................................................................1 系統(tǒng)關(guān)鍵技術(shù)發(fā)展現(xiàn)狀 ............................................................................2 研究擬采用的方法和創(chuàng)新點(diǎn) ...........................................................................4 研究擬采用的方法 ....................................................................................4 本文創(chuàng)新點(diǎn) ................................................................................................5 系統(tǒng)應(yīng)用及主要流程 .......................................................................................5第 2 章 圖像采集與圖像處理 ...........................................................................................8 圖像采集 ...........................................................................................................8 背景加強(qiáng)技術(shù) ............................................................................................8 取幀間隔時間設(shè)定 ....................................................................................9 圖像預(yù)處理 .....................................................................................................10 圖像灰度化 ..............................................................................................10 灰度圖像增強(qiáng) ..........................................................................................11 本章小結(jié) .........................................................................................................13第 3 章 車牌定位算法 ....................................................................................................14 常用車牌定位方法簡介 .................................................................................14 灰度圖像車牌定位方法 ..........................................................................14 彩色圖像的車牌定位方法 ......................................................................15 本文提出的基于視頻的車牌定位算法 .........................................................15 檢測點(diǎn)矩陣車牌粗定位算法 ..................................................................16 利用紋理特征法精確定位車牌 ..............................................................23 本章小結(jié) .........................................................................................................29第 4 章 快速字符分割與識別算法 .................................................................................31 目前常用的車牌照字符分割與識別的方法 .................................................31 車牌字符分割方法 ..................................................................................31 字符識別方法 ..........................................................................................32 本文采用的字符分割算法 .............................................................................32 利用投影法進(jìn)行車牌精確定位 ..............................................................33 全局閾值法二值化處理 ..........................................................................35 投影分割算法 ..........................................................................................36 字符規(guī)格化處理 ......................................................................................38 模板匹配車牌字符識別技術(shù) .........................................................................39 獲取壓縮模板 ..........................................................................................40 樣本集分類 ..............................................................................................41 模板匹配 ..................................................................................................42 本章小結(jié) .........................................................................................................44第 5 章 質(zhì)量反饋模塊 ....................................................................................................45 參數(shù)獲取 .........................................................................................................45 評價函數(shù) .........................................................................................................48 本章小結(jié) .........................................................................................................49第 6 章 系統(tǒng)仿真分析 ....................................................................................................50 系統(tǒng)仿真工具 ..............................................