基于matlab的車(chē)牌識(shí)別系統(tǒng)的設(shè)計(jì)與實(shí)現(xiàn)-全文預(yù)覽
【正文】 XX 指導(dǎo)教師職稱(chēng) 講師 2020 年 基于 MATLAB的車(chē)牌識(shí)別系統(tǒng)的設(shè)計(jì) —— 字符分割的設(shè)計(jì) 摘 要 ：汽車(chē)車(chē)牌的識(shí)別系統(tǒng)是現(xiàn)代智能交通管理的重要組成部分之一。 本文主要介紹圖像預(yù)處理、車(chē)牌定位、字符分割三個(gè)模塊的實(shí)現(xiàn)方法。 本文 即是針對(duì)其 核心部分進(jìn)行闡述并使用 MATLAB 軟件環(huán)境中進(jìn)行字符分割的仿真實(shí)驗(yàn)。 i 結(jié)論 參考文獻(xiàn) 附錄部分主要程序代碼 MATLABbased License Plate Recognition System —— The design character segmentation Abstract:Vehicle license plate recognition system is one important of the modern intelligent traffic management. License plate recognition system to make more intelligent vehicle management, digital, Effective traffic management to enhance the convenience and effectiveness. License plate recognition system includes image acquisition, image preprocessing, license plate localization, character segmentation, character recognition and other five core parts. In this paper, preprocessing, license plate localization, character segmentation method for the realization of three is the image preprocessing module and the use of the image grayscale Roberts edge detection operator steps. License plate location and segmentation using mathematical morphology method is used to determine the license plate location，Reuse license plate color segmentation method of color information to plete the license plate area segmentation. Character segmentation approach is based on the license plate after the binary part of the vertical projection, Then scan in the vertical projection, thus pleting the character segmentation. This article is described for the core part and use the MATLAB software environment, the simulation experiments for character segmentation. Keywords: MATLAB software, image preprocessing, license plate localization, character segmentation . 目 錄 引言 .................................................................... 1 1． 設(shè)計(jì)原理 ............................................................. 1 2． 系統(tǒng)框架結(jié)構(gòu) ......................................................... 1 工作流程 ........................................................ 2 .............................................................. 3 設(shè)計(jì)方案 ........................................................ 3 .......................................................... 3 圖像預(yù)處理 ...................................................... 3 圖像灰度化 ................................................ 3 圖像的邊緣檢測(cè) ............................................ 4 車(chē)牌定位和分割 .................................................. 6 車(chē)牌的定位 ................................................ 6 車(chē)牌的分割 ................................................ 8 對(duì)定位后的彩色車(chē)牌的進(jìn)一步處理 ............................ 8 字符的分割和歸一化處理 ......................................... 10 字符的分割 ................................................... 10 字符的歸一化處理 ............................................. 11 5 實(shí)驗(yàn)結(jié)果和分析 ....................................................... 11 ............................................................. 13 主要參考文獻(xiàn) ........................................................... 14 附錄 ................................................................... 15 實(shí)驗(yàn)體會(huì) .......................
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