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<div id="pf1" class="pf w0 h0" data-page-no="1"><div class="pc pc1 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/627087b47b370112143cecc6/bg1.jpg"><div class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 x2 h3 y2 ff1 fs1 fc0 sc0 ls0 ws0"> <span class="_ _0"> </span> <span class="_"> </span>XXXXXX<span class="_ _1"> </span> </div><div class="t m0 x3 h4 y3 ff2 fs2 fc0 sc0 ls0 ws0">毕业设计说明书<span class="_ _2"> </span><span class="ff1">(<span class="_ _3"> </span></span>论文<span class="_ _4"> </span><span class="ff1">) </span></div><div class="t m0 x1 h5 y4 ff1 fs3 fc0 sc0 ls0 ws0"> </div><div class="t m0 x1 h5 y5 ff1 fs3 fc0 sc0 ls0 ws0"> </div><div class="t m0 x4 h6 y6 ff2 fs4 fc0 sc0 ls0 ws0">作<span class="_ _5"> </span><span class="ff3"> <span class="_ _6"> </span> <span class="_ _7"> </span></span>者<span class="_ _8"> </span><span class="ff3">: <span class="_ _9"> </span></span>叶超<span class="_ _a"> </span><span class="ff1"> <span class="_ _b"> </span></span>学<span class="_ _c"></span><span class="ff1"> <span class="_"> </span></span>号：<span class="ff1"> <span class="_ _d"> </span>XXXXXXXXXX </span></div><div class="t m0 x4 h6 y7 ff2 fs4 fc0 sc0 ls0 ws0">学<span class="_ _e"></span>院<span class="_ _e"></span><span class="ff1">(<span class="_ _f"> </span><span class="ff2">系<span class="_ _10"></span><span class="ff1">)<span class="_ _11"></span><span class="ff3">: <span class="_ _12"> </span><span class="ff2">电子电气工程系<span class="_ _13"> </span></span></span> </span></span></span></div><div class="t m0 x4 h6 y8 ff2 fs4 fc0 sc0 ls0 ws0">专<span class="_ _5"> </span><span class="ff3"> <span class="_ _6"> </span> <span class="_ _7"> </span></span>业<span class="_ _8"> </span><span class="ff3">: <span class="_ _12"> </span></span>电子科学与技术<span class="_ _13"> </span><span class="ff1"> </span></div><div class="t m0 x4 h6 y9 ff2 fs4 fc0 sc0 ls0 ws0">题<span class="_ _5"> </span><span class="ff3"> <span class="_ _6"> </span> <span class="_ _7"> </span></span>目<span class="_ _8"> </span><span class="ff3">: <span class="_ _14"> </span></span>基于模式识别与神经网络<span class="_ _15"> </span><span class="ff1"> </span></div><div class="t m0 x5 h6 ya ff3 fs4 fc0 sc0 ls0 ws0"> <span class="_ _16"> </span><span class="ff2">的车牌号码识别系统设计<span class="_ _15"> </span><span class="ff1"> </span></span></div><div class="t m0 x3 h7 yb ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 x3 h8 yc ff1 fs5 fc0 sc0 ls0 ws0"> </div><div class="t m0 x3 h7 yd ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 x3 h7 ye ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 h9 yf ff2 fs5 fc0 sc0 ls0 ws0">指导者：<span class="_ _17"> </span><span class="ff1 fs4"> </span></div><div class="t m0 x7 ha y10 ff1 fs6 fc0 sc0 ls0 ws0"> <span class="_ _8"> </span> <span class="_ _18"> </span> <span class="_ _19"> </span> <span class="_ _18"> </span> <span class="_"> </span> </div><div class="t m0 x7 ha y11 ff1 fs6 fc0 sc0 ls0 ws0"> </div><div class="t m0 x6 hb y12 ff2 fs5 fc0 sc0 ls0 ws0">评阅者：<span class="_ _17"> </span><span class="ff1 fs4"> <span class="_ _1a"> </span></span><span class="ff3"> </span></div><div class="t m0 x7 ha y13 ff1 fs6 fc0 sc0 ls0 ws0"> <span class="_ _18"> </span> <span class="_ _8"> </span> <span class="_ _19"> </span> </div><div class="t m0 x1 h7 y14 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 x1 h7 y15 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 x8 hc y16 ff1 fs7 fc0 sc0 ls0 ws0"> 2014 <span class="_ _1b"> </span><span class="ff2">年<span class="_ _c"></span></span> 6 <span class="_ _1c"> </span><span class="ff2">月<span class="_ _c"></span></span> </div><div class="t m0 x9 hd y17 ff2 fs4 fc0 sc0 ls0 ws0">温<span class="_ _1d"> </span><span class="ff1">XX <span class="_ _1e"> </span></span>讲师<span class="_ _a"> </span><span class="ff1"> </span></div><div class="t m0 xa hd y18 ff2 fs4 fc0 sc0 ls0 ws0">副教授<span class="_ _17"> </span><span class="ff1"> <span class="_ _1f"></span>XX </span></div></div><div class="pi" data-data='{"ctm":[1.002216,0.000000,0.000000,1.002216,0.000000,0.000000]}'></div></div>
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<div id="pf2" class="pf w0 h0" data-page-no="2"><div class="pc pc2 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/627087b47b370112143cecc6/bg2.jpg"><div class="t m0 x6 he y19 ff2 fs7 fc0 sc0 ls0 ws0">毕<span class="_ _20"> </span>业<span class="_ _1d"> </span>设<span class="_ _20"> </span>计<span class="_ _17"> </span>说<span class="_ _20"> </span>明<span class="_ _20"> </span>书<span class="_ _17"> </span>（<span class="_ _20"> </span>论<span class="_ _17"> </span>文<span class="_ _17"> </span>）<span class="_ _17"> </span>中<span class="_ _20"> </span>文<span class="_ _20"> </span>摘<span class="_ _17"> </span>要<span class="_ _20"> </span><span class="ff3"> </span></div><div class="t m0 xb hf y1a ff1 fs8 fc0 sc0 ls0 ws0"> </div><div class="t m0 xb h10 y1b ff2 fs8 fc0 sc0 ls0 ws0">本设计主要是研究了目前两大主流字符识别方案，模式识别与<span class="_ _21"> </span><span class="ff1">BP<span class="_ _17"> </span></span>神经网络</div><div class="t m0 xc h10 y1c ff2 fs8 fc0 sc0 ls0 ws0">识别方案。<span class="_ _5"> </span>以<span class="_ _8"> </span><span class="ff1">MATLAB<span class="_ _22"> </span></span>软件为平台设计系统，<span class="_ _1d"> </span>比较了两种字符识别方案结果的准</div><div class="t m0 xc h10 y1d ff2 fs8 fc0 sc0 ls0 ws0">确率，最终得出结论。本系统主要包括图像采集、图像预处理、车牌定位、字符</div><div class="t m0 xc h10 y1e ff2 fs8 fc0 sc0 ls0 ws0">分割、字符识别五个部分组成。本文的图像预处理是将图像经过灰度化，图像增</div><div class="t m0 xc h10 y1f ff2 fs8 fc0 sc0 ls0 ws0">强、边缘提取二值化等操作转化成便于定位的二值化图像。图像定位是采用基于</div><div class="t m0 xc h10 y20 ff2 fs8 fc0 sc0 ls0 ws0">边缘检测、形态学处理的算法，该算法定位精度高。字符分割采用的方法是在二</div><div class="t m0 xc h10 y21 ff2 fs8 fc0 sc0 ls0 ws0">值化后的车牌部分寻找连续有文字的块，大于设定阈值的长度部分则切割。最终</div><div class="t m0 xc h10 y22 ff2 fs8 fc0 sc0 ls0 ws0">本文将通过比较模式识别与<span class="_ _23"> </span><span class="ff1">BP<span class="_ _17"> </span></span>神经网络识别的算法，通过结果分析得出优点与</div><div class="t m0 xc h10 y23 ff2 fs8 fc0 sc0 ls0 ws0">不足，并为以后的进一步研究与改进提出了意见和建议。<span class="_ _24"> </span><span class="ff1"> </span></div><div class="t m0 xc hf y24 ff1 fs8 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h10 y25 ff2 fs8 fc0 sc0 ls0 ws0">关键词<span class="_ _5"> </span><span class="ff1"> <span class="_ _1d"> </span></span>模式识别<span class="_ _8"> </span><span class="ff1"> <span class="_"> </span> <span class="_ _5"> </span>BP<span class="_"> </span></span>神经网络识别<span class="_ _20"> </span><span class="ff1"> <span class="_"> </span> <span class="_ _5"> </span>MATLAB <span class="_ _22"> </span> <span class="_"> </span> <span class="_"> </span> <span class="_ _5"> </span> </span></div><div class="t m0 xc h7 y26 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h7 y27 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h7 y28 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h7 y29 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h7 y2a ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h7 y2b ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h7 y2c ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h7 y18 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h7 y2d ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h7 y2e ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h7 y2f ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xc h7 y30 ff1 fs4 fc0 sc0 ls0 ws0"> </div></div><div class="pi" data-data='{"ctm":[1.002216,0.000000,0.000000,1.002216,0.000000,0.000000]}'></div></div>
<div id="pf3" class="pf w0 h0" data-page-no="3"><div class="pc pc3 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/627087b47b370112143cecc6/bg3.jpg"><div class="t m0 xd he y31 ff2 fs7 fc0 sc0 ls0 ws0">毕<span class="_ _20"> </span>业<span class="_ _17"> </span>设<span class="_ _20"> </span>计<span class="_ _1d"> </span>说<span class="_ _20"> </span>明<span class="_ _20"> </span>书<span class="_ _17"> </span>（<span class="_ _20"> </span>论<span class="_ _17"> </span>文<span class="_ _20"> </span>）<span class="_ _20"> </span>外<span class="_ _17"> </span>文<span class="_ _17"> </span>摘<span class="_ _17"> </span>要<span class="_ _20"> </span><span class="ff3"> </span></div><div class="t m0 xe h7 y32 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 xf h7 y33 ff1 fs4 fc0 sc0 ls0 ws0">Title </div><div class="t m0 x10 h2 y2 ff1 fs0 fc0 sc0 ls0 ws0"> Based on pattern recognition and neural network </div><div class="t m0 xf h2 y34 ff1 fs0 fc0 sc0 ls0 ws0"> <span class="_ _25"> </span> license plate number recognition system design </div><div class="t m0 xf h2 y35 ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 xf h7 y36 ff1 fs4 fc0 sc0 ls0 ws0">Abstract </div><div class="t m0 xf hf y37 ff1 fs8 fc0 sc0 ls0 ws0">This design aims at studying the two current main character recognition </div><div class="t m0 xf hf y38 ff1 fs8 fc0 sc0 ls0 ws0">program, <span class="_ _26"> </span>pattern <span class="_ _1"> </span>recognition <span class="_ _27"> </span>and <span class="_ _28"> </span>BP <span class="_ _4"> </span>neural <span class="_ _29"> </span>network <span class="_ _26"> </span>recognition </div><div class="t m0 xf hf y39 ff1 fs8 fc0 sc0 ls0 ws0">program.Based on MATLAB software platform to design systems, this design </div><div class="t m0 xf hf y3a ff1 fs8 fc0 sc0 ls0 ws0">compares two character recognition program results' accuracy, finally it </div><div class="t m0 xf hf y3b ff1 fs8 fc0 sc0 ls0 ws0">reaches <span class="_ _4"> </span>the <span class="_ _2a"> </span>conclusion.The <span class="_ _2b"> </span>system <span class="_ _1d"> </span>mainly <span class="_ _2c"> </span>includes <span class="_ _2d"> </span>five <span class="_ _13"> </span>parts: <span class="_ _2e"> </span>image </div><div class="t m0 xf hf y3c ff1 fs8 fc0 sc0 ls0 ws0">acquisition, <span class="_ _2f"> </span>image <span class="_ _17"> </span>preprocessing, <span class="_ _d"> </span>license <span class="_ _2e"> </span>plate <span class="_ _13"> </span>location, <span class="_ _15"> </span>character </div><div class="t m0 xf hf y3d ff1 fs8 fc0 sc0 ls0 ws0">segmentation <span class="_ _17"> </span>and <span class="_ _30"></span>character <span class="_ _2a"> </span>recognition. <span class="_ _29"> </span>Image pre-processing <span class="_ _31"> </span>of <span class="_ _a"> </span>the <span class="_ _a"> </span>paper </div><div class="t m0 xf hf y3e ff1 fs8 fc0 sc0 ls0 ws0">is <span class="_ _28"> </span>the <span class="_ _1c"> </span>image <span class="_ _4"> </span>through <span class="_ _28"> </span>the <span class="_ _2c"> </span>gray, <span class="_ _13"> </span>image <span class="_ _17"> </span>enhancement, <span class="_ _2a"> </span>edge <span class="_ _20"> </span>extraction </div><div class="t m0 xf hf y3f ff1 fs8 fc0 sc0 ls0 ws0">binarization <span class="_ _29"> </span>operation <span class="_ _22"> </span>into <span class="_ _4"> </span>easy <span class="_ _30"></span>positioning <span class="_ _2e"> </span>of <span class="_"> </span>the <span class="_ _5"> </span>binary <span class="_ _1d"> </span>image.Using <span class="_ _32"> </span>the </div><div class="t m0 xf hf y40 ff1 fs8 fc0 sc0 ls0 ws0">character segmentation method is part of the license plate binarization </div><div class="t m0 xf hf y41 ff1 fs8 fc0 sc0 ls0 ws0">looking <span class="_ _22"> </span>after <span class="_ _1c"> </span>consecutive <span class="_ _22"> </span>blocks <span class="_ _17"> </span>with <span class="_ _20"> </span>text, <span class="_ _2c"> </span>setting <span class="_ _28"> </span>the <span class="_ _a"> </span>length <span class="_ _1d"> </span>of <span class="_ _a"> </span>the <span class="_"> </span>part </div><div class="t m0 xf hf y42 ff1 fs8 fc0 sc0 ls0 ws0">is <span class="_ _20"> </span>greater <span class="_ _22"> </span>than <span class="_"> </span>cutting <span class="_ _28"> </span>the <span class="_"> </span>threshold <span class="_ _3"> </span>.This <span class="_ _4"> </span>article <span class="_ _26"> </span>will <span class="_ _2c"> </span>compare <span class="_ _10"></span>the <span class="_ _a"> </span>final </div><div class="t m0 xf hf y43 ff1 fs8 fc0 sc0 ls0 ws0">pattern recognition and BP neural network algorithm, the analysis of the </div><div class="t m0 xf hf ye ff1 fs8 fc0 sc0 ls0 ws0">results obtained by the advantages and disadvantages.For future further </div><div class="t m0 xf hf y44 ff1 fs8 fc0 sc0 ls0 ws0">research and improvement put forward opinions and suggestions.<span class="_ _33"> </span> </div><div class="t m0 xf hf y45 ff1 fs8 fc0 sc0 ls0 ws0"> </div><div class="t m0 xf hf y46 ff1 fs8 fc0 sc0 ls0 ws0"> </div><div class="t m0 xf hf y47 ff1 fs8 fc0 sc0 ls0 ws0">Keywords<span class="_ _e"></span> <span class="_"> </span> <span class="_ _5"> </span>Pattern recognition BP neural network recognition MATLAB<span class="_ _34"> </span> </div><div class="t m0 xf hf y48 ff1 fs8 fc0 sc0 ls0 ws0"> </div><div class="t m0 xf h7 y49 ff1 fs4 fc0 sc0 ls0 ws0"> </div><div class="t m0 x11 ha y4a ff1 fs6 fc0 sc0 ls0 ws0"> </div></div><div class="pi" data-data='{"ctm":[1.002216,0.000000,0.000000,1.002216,0.000000,0.000000]}'></div></div>
<div id="pf4" class="pf w0 h0" data-page-no="4"><div class="pc pc4 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/627087b47b370112143cecc6/bg4.jpg"><div class="t m0 x11 h2 y4b ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 x11 h2 y4c ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 x12 h11 y4d ff2 fs0 fc0 sc0 ls0 ws0">目<span class="_ _c"></span><span class="ff1"> <span class="_ _35"> </span></span>录<span class="_ _c"></span><span class="ff1"> </span></div><div class="t m0 x13 h2 y4e ff1 fs0 fc0 sc0 ls0 ws0"> </div><div class="t m0 x14 h10 y4f ff1 fs8 fc0 sc0 ls0 ws0">1 <span class="_ _1d"> </span><span class="ff2">绪论<span class="_ _5"> </span></span>??????????????????????????????<span class="_ _36"> </span> 1 </div><div class="t m0 x14 h10 y50 ff1 fs8 fc0 sc0 ls0 ws0">1.1 <span class="_ _17"> </span><span class="ff2">课题背景及意义<span class="_ _28"> </span></span>?????????????????????????<span class="_ _37"> </span> 1 </div><div class="t m0 x14 h10 y51 ff1 fs8 fc0 sc0 ls0 ws0">1.2 <span class="_ _17"> </span><span class="ff2">课题设计任务<span class="_ _1c"> </span></span>??????????????????????????<span class="_ _38"> </span> 3 </div><div class="t m0 x14 h10 y52 ff1 fs8 fc0 sc0 ls0 ws0">1.3 <span class="_ _17"> </span><span class="ff2">本文的章节安排<span class="_ _28"> </span></span>?????????????????????????<span class="_ _37"> </span> 3 </div><div class="t m0 x14 h10 y53 ff1 fs8 fc0 sc0 ls0 ws0">2 <span class="_ _17"> </span><span class="ff2">系统方案论证<span class="_ _1c"> </span></span>???????????????????????????<span class="_ _39"> </span> 4 </div><div class="t m0 x14 h10 y54 ff1 fs8 fc0 sc0 ls0 ws0">2.1 <span class="_ _17"> </span><span class="ff2">软件开发可行性论证<span class="_ _26"> </span></span>???????????????????????<span class="_ _3a"> </span> 4 </div><div class="t m0 x14 h10 y55 ff1 fs8 fc0 sc0 ls0 ws0">2.2 <span class="_ _17"> </span><span class="ff2">系统设计方案论证<span class="_ _13"> </span></span>????????????????????????<span class="_ _3b"> </span> 4 </div><div class="t m0 x14 h10 y56 ff1 fs8 fc0 sc0 ls0 ws0">3 <span class="_ _a"> </span> <span class="_ _5"> </span><span class="ff2">系统设计<span class="_ _17"> </span></span>????????????????????????????<span class="_ _3c"> </span> 6 </div><div class="t m0 x14 h10 y57 ff1 fs8 fc0 sc0 ls0 ws0">3.1 <span class="_ _17"> </span><span class="ff2">图像采集<span class="_ _17"> </span></span>????????????????????????????<span class="_ _3d"> </span> 6 </div><div class="t m0 x14 h10 y58 ff1 fs8 fc0 sc0 ls0 ws0">3.2 <span class="_ _17"> </span><span class="ff2">图像预处理<span class="_ _4"> </span></span>???????????????????????????<span class="_ _3e"> </span> 6 </div><div class="t m0 x14 h10 y59 ff1 fs8 fc0 sc0 ls0 ws0">3.3 <span class="_ _1d"> </span><span class="ff2">定位和分割<span class="_ _4"> </span></span>??????????????????????????<span class="_ _3f"> </span> 15 </div><div class="t m0 x14 h10 y5a ff1 fs8 fc0 sc0 ls0 ws0">3.4 <span class="_ _1d"> </span><span class="ff2">字符识别<span class="_ _17"> </span></span>???????????????????????????<span class="_ _40"> </span> 23 </div><div class="t m0 x14 h10 y5b ff1 fs8 fc0 sc0 ls0 ws0">3.5 <span class="_ _1d"> </span><span class="ff2">模板识别系统结果与分析<span class="_ _23"> </span></span>????????????????????<span class="_ _41"> </span> 24 </div><div class="t m0 x14 h10 y5c ff1 fs8 fc0 sc0 ls0 ws0">3.6 <span class="_ _1d"> </span><span class="ff2">小结<span class="_ _5"> </span></span>?????????????????????????????<span class="_ _42"> </span> 26 </div><div class="t m0 x14 h10 y5d ff1 fs8 fc0 sc0 ls0 ws0">4 <span class="_ _1d"> </span><span class="ff2">人工神经网络字符识别<span class="_ _2b"> </span></span>??????????????????????<span class="_ _43"> </span> 27 </div><div class="t m0 x14 h10 y5e ff1 fs8 fc0 sc0 ls0 ws0">4.1<span class="_ _30"></span> BP<span class="_ _44"> </span><span class="ff2">网络模型结构<span class="_ _1c"> </span></span>???????????????????????<span class="_ _45"> </span> 27 </div><div class="t m0 x14 h10 y5f ff1 fs8 fc0 sc0 ls0 ws0">4.2<span class="_ _30"></span> BP<span class="_ _44"> </span><span class="ff2">神经网络的训练<span class="_ _28"> </span></span>??????????????????????<span class="_ _46"> </span> 28 </div><div class="t m0 x14 h10 y60 ff1 fs8 fc0 sc0 ls0 ws0">4.3 BP<span class="_ _2c"> </span><span class="ff2">神经网络结构和设计<span class="_ _26"> </span></span>?????????????????????<span class="_ _47"> </span> 29 </div><div class="t m0 x14 h10 y61 ff1 fs8 fc0 sc0 ls0 ws0">4.4 <span class="_ _1d"> </span><span class="ff2">结果分析<span class="_ _17"> </span></span>???????????????????????????<span class="_ _40"> </span> 34 </div><div class="t m0 x14 h10 y62 ff1 fs8 fc0 sc0 ls0 ws0">4.5 <span class="_ _1d"> </span><span class="ff2">本章小结<span class="_ _17"> </span></span>???????????????????????????<span class="_ _40"> </span> 35 </div><div class="t m0 x14 h10 y63 ff1 fs8 fc0 sc0 ls0 ws0">5 GUI<span class="_ _31"> </span><span class="ff2">界面<span class="_ _5"> </span></span>????????????????????????????<span class="_ _48"> </span> 36 </div><div class="t m0 x14 h10 y64 ff1 fs8 fc0 sc0 ls0 ws0">5.1 <span class="_ _1d"> </span><span class="ff2">图形用户界面<span class="_ _1c"> </span></span>?????????????????????????<span class="_ _49"> </span> 36 </div><div class="t m0 x14 h10 y65 ff1 fs8 fc0 sc0 ls0 ws0">5.1<span class="_ _10"></span> GUI<span class="_ _1c"> </span><span class="ff2">设计界面的操作步骤<span class="_ _26"> </span></span>?????????????????????<span class="_ _4a"> </span> 36 </div><div class="t m0 x14 h10 y66 ff2 fs8 fc0 sc0 ls0 ws0">结束语<span class="_ _19"> </span><span class="ff1">???????????????????????????????<span class="_ _4b"> </span> 38 </span></div><div class="t m0 x14 h10 y67 ff2 fs8 fc0 sc0 ls0 ws0">致谢<span class="_ _c"></span><span class="ff1">????????????????????????????????<span class="_ _4c"> </span> 39 </span></div><div class="t m0 x14 h10 y68 ff2 fs8 fc0 sc0 ls0 ws0">参考文献<span class="_ _8"> </span><span class="ff1">??????????????????????????????<span class="_ _4d"> </span> 40 </span></div><div class="t m0 x15 h12 y69 ff2 fs6 fc0 sc0 ls0 ws0">附<span class="_ _5"> </span>录<span class="_ _22"> </span><span class="ff1">A<span class="_"> </span> <span class="_ _3"> </span></span>模式识别主程序代码</div><div class="t m0 x16 hf y6a ff1 fs8 fc0 sc0 ls0 ws0">?</div><div class="t m0 x17 ha y69 ff1 fs6 fc0 sc0 ls0 ws0">?????<span class="_ _4e"> </span>?????<span class="_ _4e"> </span>???????</div><div class="t m0 x18 hf y6a ff1 fs8 fc0 sc0 ls0 ws0">???<span class="_ _4f"> </span> </div><div class="t m0 x19 ha y69 ff1 fs6 fc0 sc0 ls0 ws0">41 </div><div class="t m0 x15 h12 y6b ff2 fs6 fc0 sc0 ls0 ws0">附录<span class="_ _28"> </span><span class="ff1">B<span class="_ _19"> </span> BP<span class="_ _26"> </span></span>神经网络识别主程序代码</div><div class="t m0 x1a hf y6c ff1 fs8 fc0 sc0 ls0 ws0">?</div><div class="t m0 x1b ha y6b ff1 fs6 fc0 sc0 ls0 ws0">??????????????</div><div class="t m0 x1c hf y6c ff1 fs8 fc0 sc0 ls0 ws0">???<span class="_ _24"> </span> </div><div class="t m0 x19 ha y6b ff1 fs6 fc0 sc0 ls0 ws0">52 </div><div class="t m0 x15 h12 y6d ff2 fs6 fc0 sc0 ls0 ws0">附录<span class="_"> </span><span class="ff1">C<span class="_ _c"></span> <span class="_ _22"> </span></span>图像模板</div><div class="t m0 x1d hf y6e ff1 fs8 fc0 sc0 ls0 ws0">????????</div><div class="t m0 x1e ha y6d ff1 fs6 fc0 sc0 ls0 ws0">????????????????</div><div class="t m0 x1f hf y6e ff1 fs8 fc0 sc0 ls0 ws0">??<span class="_ _2e"> </span> </div><div class="t m0 x19 ha y6d ff1 fs6 fc0 sc0 ls0 ws0">65 </div></div><div class="pi" data-data='{"ctm":[1.002216,0.000000,0.000000,1.002216,0.000000,0.000000]}'></div></div>
<div id="pf5" class="pf w0 h0" data-page-no="5"><div class="pc pc5 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/627087b47b370112143cecc6/bg5.jpg"><div class="t m0 x11 h9 y4b ff1 fs5 fc0 sc0 ls0 ws0">1 <span class="_ _0"> </span><span class="ff2">绪论<span class="_ _8"> </span></span> </div><div class="t m0 x20 h10 y6f ff2 fs8 fc0 sc0 ls0 ws0">近年来，随着经济的发展，人们生活水平的提高，私家车数量迅速增加。城市大</div><div class="t m0 x11 h10 y70 ff2 fs8 fc0 sc0 ls0 ws0">力发展交通设施已跟不上车辆增长的速度，<span class="_ _44"> </span>即便是大力发展公共交通设施也难解决现</div><div class="t m0 x11 h10 y71 ff2 fs8 fc0 sc0 ls0 ws0">已存在的交通拥挤情况。<span class="_ _1d"> </span>由于城市空间的严格限制以及政策资金的支持有限，<span class="_ _d"> </span>使道路</div><div class="t m0 x11 h10 y72 ff2 fs8 fc0 sc0 ls0 ws0">基础设施的建设受到了严格限制。<span class="_ _2c"> </span>因此要保持交通建设与现代化管理的齐头并进，<span class="_ _50"> </span>建</div><div class="t m0 x11 h10 y73 ff2 fs8 fc0 sc0 ls0 ws0">设交通基础设施的同时，大力发展现代智能交通系统（<span class="_ _51"> </span><span class="ff1">Intelligent Transport System,<span class="_ _52"></span><span class="ff2">简</span></span></div><div class="t m0 x11 h10 y74 ff2 fs8 fc0 sc0 ls0 ws0">称<span class="_ _32"> </span><span class="ff1">ITS<span class="_ _10"></span><span class="ff2">）</span></span></div><div class="t m0 x21 h13 y75 ff1 fs9 fc0 sc0 ls0 ws0">[1]</div><div class="t m0 x22 h10 y74 ff2 fs8 fc0 sc0 ls0 ws0">。成为急需解决的问题。<span class="_ _2a"> </span><span class="ff1"> </span></div><div class="t m0 x11 h11 y76 ff1 fs0 fc0 sc0 ls0 ws0">1.1 <span class="_ _28"> </span><span class="ff2">课题背景及意义<span class="_ _1d"> </span></span> </div><div class="t m0 x20 h10 y77 ff2 fs8 fc0 sc0 ls0 ws0">车牌号码识别系统是智能交通系统的核心部分，汽车的号牌是车辆身份的象征，</div><div class="t m0 x11 h10 y78 ff2 fs8 fc0 sc0 ls0 ws0">类似于商品的条形码。车牌号码识别技术在交通系统中占据及其重要的位置</div><div class="t m0 x23 h13 y79 ff1 fs9 fc0 sc0 ls0 ws0">[2]</div><div class="t m0 x24 h10 y78 ff2 fs8 fc0 sc0 ls0 ws0">。该技</div><div class="t m0 x11 h10 y7a ff2 fs8 fc0 sc0 ls0 ws0">术应用范围也相当广泛，如：公共场所出入口车辆管理、交通流量监测、车辆违章记</div><div class="t m0 x11 h10 y7b ff2 fs8 fc0 sc0 ls0 ws0">录、车辆被盗追回等等，<span class="_ _17"> </span>使用价值不言而喻。对促进交通稳固持续发展有着极大地推</div><div class="t m0 x11 h10 y7c ff2 fs8 fc0 sc0 ls0 ws0">进作用。<span class="_ _8"> </span><span class="ff1"> </span></div><div class="t m0 x11 h10 y7d ff1 fs8 fc0 sc0 ls0 ws0">1.1.1 <span class="_ _31"> </span><span class="ff2">车牌识别系统国内外研究现状<span class="_ _44"> </span></span> <span class="_ _5"> </span> </div><div class="t m0 x20 h10 y7e ff2 fs8 fc0 sc0 ls0 ws0">自<span class="_ _a"> </span><span class="ff1">1998<span class="_"> </span></span>年起，鉴于车辆普及的必然趋势，外国科学家就已经开始了对车牌识别</div><div class="t m0 x11 h10 y7f ff2 fs8 fc0 sc0 ls0 ws0">系统的研究</div><div class="t m0 x25 h13 y80 ff1 fs9 fc0 sc0 ls0 ws0">[3]</div><div class="t m0 x26 h10 y7f ff2 fs8 fc0 sc0 ls0 ws0">。当时的主要研究途径是分析车辆的图像，自动提取车牌信息从而确定</div><div class="t m0 x11 h10 ya ff2 fs8 fc0 sc0 ls0 ws0">汽车牌号。在研究过程中，似然运用了很多的技术，但外界环境的多种多样，如外界</div><div class="t m0 x11 h10 y81 ff2 fs8 fc0 sc0 ls0 ws0">光线变化、<span class="_ _5"> </span>光路中的灰尘、<span class="_ _a"> </span>季节导致的环境变化及车牌本身的不清晰。<span class="_ _2b"> </span>使得车牌识别</div><div class="t m0 x11 h10 y82 ff2 fs8 fc0 sc0 ls0 ws0">系统研究一直得不到较好的研究成果。<span class="_"> </span>研究过程中采用了大量的数值运算，<span class="_"> </span>并没有考</div><div class="t m0 x11 h10 y83 ff2 fs8 fc0 sc0 ls0 ws0">虑到针对具体情况分办法解决。<span class="_ _4"> </span>当时国外的研究机构为了解决图像的恶化采取的办法</div><div class="t m0 x11 h10 y84 ff2 fs8 fc0 sc0 ls0 ws0">是用主动红外照明摄像或使用特殊的传感器来提高图像质量。<span class="_ _1"> </span>但这么做造成的大量投</div><div class="t m0 x11 h10 y85 ff2 fs8 fc0 sc0 ls0 ws0">资成本使应用领域变得相对狭小，也打不成大范围推广使用的目的。当时以色列</div><div class="t m0 x11 h10 y86 ff1 fs8 fc0 sc0 ls0 ws0">Hi-Tech<span class="_"> </span><span class="ff2">公司的<span class="_ _20"> </span></span>See/Car System<span class="_ _30"></span><span class="ff2">系列，香港<span class="_ _22"> </span></span>Asia <span class="_ _5"> </span>VisionTechnology<span class="_ _19"> </span><span class="ff2">公司的<span class="_ _1d"> </span></span>VECON<span class="_ _32"> </span><span class="ff2">产</span></div><div class="t m0 x11 h10 y87 ff2 fs8 fc0 sc0 ls0 ws0">品以及新加坡<span class="_ _1c"> </span><span class="ff1">Optasia<span class="_ _5"> </span></span>公司的<span class="_ _1d"> </span><span class="ff1">VLPRS<span class="_ _20"> </span></span>系列都是相对成熟的产品。但<span class="_ _2b"> </span><span class="ff1">VECON<span class="_ _17"> </span></span>产品和</div><div class="t m0 x11 h10 y88 ff1 fs8 fc0 sc0 ls0 ws0">VLPRS<span class="_ _a"> </span><span class="ff2">产品主要适用于香港和新加坡的车牌，<span class="_ _2b"> </span></span>Hi-Tech<span class="_"> </span><span class="ff2">公司的<span class="_ _1d"> </span></span>See/CarSystem<span class="_ _53"></span><span class="ff2">通过多</span></div><div class="t m0 x11 h10 y89 ff2 fs8 fc0 sc0 ls0 ws0">种变形的产品来分别适应各个国家的车牌。只有<span class="_ _27"> </span><span class="ff1">See/Car Chinese<span class="_ _19"> </span></span>系统可以对中国大</div><div class="t m0 x11 h10 y8a ff2 fs8 fc0 sc0 ls0 ws0">陆的车牌进行识别，<span class="_ _1d"> </span>但当时这些产品都存在极大缺陷，<span class="_ _28"> </span>且对车牌中汉字无法识别。<span class="_ _1c"> </span>这</div><div class="t m0 x11 h10 y8b ff2 fs8 fc0 sc0 ls0 ws0">些国家的产品虽然不同，<span class="_ _1d"> </span>但几乎都采用的基于车辆探测器的系统，<span class="_ _2d"> </span>导致了设备投资巨</div><div class="t m0 x11 h10 y8c ff2 fs8 fc0 sc0 ls0 ws0">大。国内在<span class="_ _22"> </span><span class="ff1">90<span class="_ _a"> </span></span>年代也开始了对车牌识别系统的研究，目前相对成熟的产品有中科院</div></div><div class="pi" data-data='{"ctm":[1.002216,0.000000,0.000000,1.002216,0.000000,0.000000]}'></div></div>
MATLAB车牌识别
