A1A0A2A3A4A5A6基于MATLAB的車牌識別系統學院電控學院專業交通信息工程及控制姓名學號2010年12月A7A8A9A10A11A12A13目錄4A14A15A16A17A18A19A20A21A22A23A24A25A26A27A28A29A30A31A30A31A30A31A32A32A33A34A35A36A37A35A36A38A39A40A41A42A43A44A294A45A40A41A42A46A475A48A49A50A40A51A52A44A53A54A55A56A575A48A39A50A40A58A59A60A61A62A63A64A658A48A45A50A40A66A67A60A64A65A68A69A49A7010A48A71A50A40A66A67A60A72A7311A45A40A41A42A74A75A53A64A7613A71A40A77A7414A78A40A79A80A81A8214A83A84A85A86A87A88A89A90A91A92A93A94A95A96基于MATLAB的車牌識別的研究A97A98A99A100A101A102A103A104A105A106A107A108A109A110A111A107A112A113A114A115A107A116A117A118A119A107A116A117A120A121A122A123A124A125A126A127A128A129A130A131A112A113A132A133A120A121A134A135A106A136A137A138A139A140A141A139A142A143A144A145A146A147A148A149A150A151A123A152A118A153A154A155A120A121A156A157A112A113A158A136A159A160A161A160A161A162A163A164A165A166A164A165A167A168A169A170A168A169A171A172A173A174A173A174A171A172A175A176一車牌識別的研究背景及現狀分析（一）研究背景A177A178A179A180A181A182A183A184A185A186A187A188A189A190A183A191A192A193A194A195A196A197A198A183A199A200A186A180A201A202A203A194A195A204A205A206A207A208A190A209A210A211A212A203A213A214A215A216A217A186A202A218A219A194A195A220A209A194A195A221A222A223A224A225A226A227A228A229A230A231A232A233A234A235A236A237A238A194A195A204A205A239A240A232A241A242A243A244A245A246A194A195A204A205A247A248A232A249A250A243A251A252A253A254A255A29A0A1A2A3A4A254A255A5A6A7A8A9A10A11A12A13A14A15A16A17A5A18A19A49A51A20A21A22A23A53A24A25A5A17A26A27A28A30A31A60A254A255A32A5A33A34A18A19A35A36A37A38A49A21A22A23A254A255A39A40A41A42A43A5A44A45A46A47A254A255A31A75A41A48A50A52A54A55A56A44A45A57A58A84A85A59A46A47A84A87A88A89A61A54A62A47A84A1A2A63A44A62A47A64A65A66A33A67A5A68A69A32A254A255A49A75A51A20A70A71A72A73A74A76A5A77A78A32A31A106A71A72A79A80A5A110A81A82A81A65A49A53A8A9A83A86A5A90A91A92A31A118A71A72A106A81A119A93A94A123A95A96A97A121A98A5A118A99A30A32A119A31A124A100A0A101A102A11A103A104A73A25A21A22A23A71A72A254A255A32A5A11A6A7A105A107A49（二）現狀A108A109A111A112A113A114A126A115A116A128A117A120A122A125A127A129A130A131A132A111A136A128A117A133A134A111A139A135A137A138A140A141A144A142A143A145A140A141A148A146A147A149A150A151A152A153A154A155A156A128A117A157A158A111A160A159A161A162A114A163A164A165A166A167A168A169A96A97A170A171A114A172A173A174A125A175A151A152A176A177A178A179A180A151A152A166A181A182A123A95A96A97A183A175A151A152A114A184A185A186A187A188A189A190A111A191A192A193A127A166A194A167A195A196A197A198A114A199A200A177A201A202A197A168A169A203A204A114A123A95A205A96A97A151A152A111A139A135A206A207A111A96A97A208A157A183A175A209A210A211A177A183A175A212A185A186A213A214A176二、系統構成A215A216A217A218A219A220A221A215A222A219A223A224A225A226A227A228A229A230A228A231A215A220A216A232A225A217A233A234A235A236A237A238A239A240A217A219A241A215A242A239A243A244A245A246A247A248A215A216A233A249A250A251A252A253A254A225A221A215A255A6A228A215A216A3A0A225A217A233A228A215A216A255A6A225A142A1A2A4A5A7A228A216A232A8A9A225A10A11A2A12A254A228A216A232A13A14A225A15A16A17A18A19A20A21A22A37A23A24A25A26A27A28A29A30A31A60A218A32A33A34A35。A36A221A38A39A40A41A42A43A44A45A36三、設計步驟A46A47A48A49A50A51A52A53A54A55A56A57A224A58A59A61A62A63A64A65A66A67A68A46A47A69A70A71A56A72A73A46A47A74A75A76A56A72A71A46A47A74A75A48A49A77（一）、預處理及邊緣提取一般情況下，采集到的圖像有由于光線過強，或者偏弱都會不理想的情況，這些都會對后續的圖像處理產生影響。以及車速的不穩定等因素都會不同程度地影響圖像效果，出現模糊、歪斜和缺損等嚴重缺陷，車牌字符邊界模糊、細節不清、筆畫斷開、粗細不均等現象，從而影響車牌區域分割與字符識別的工作，所以識別前需要對原始圖象進行預處理。A78A225A79A80A81A82A83A84A85A86A87A88A781、圖象的采集與轉換現有牌照的字符與背景的顏色搭配一般有藍底白字、黃底黑字、白底紅字、綠底白字和黑底白字等輸入車牌圖象灰度校正平滑處理提取邊緣A226A89A78A90A79A80A81A91A92A93A94A95A96A97A98A226A99A100A101A102A103A104A95A96A105A106A107A108A109A110A111A112A113G1972G12193，G2045G11004不同的色G5437G17902G17959G4613G2499以G4570區域與背景G7138G7186地區分出G7481，G1375G3926，對藍底白字這G12193G7380G5132G16277的牌照，采G11004藍色G37G17902G17959G7114牌照區域G1038一G1154的G11709G5430，而牌照字符G3324區域G1025G5194不G2588現。因G1038藍色G708G21G24G24，G19，G19與白色G708G21G24G24，G21G24G24，G21G24G24G709G3324G37G17902G17959G1025G5194G7092區分，而G3324G42、G53G17902G17959或G7171灰度圖象G1025G5194G7092G8504G1427G2045。同理對白底黑字的牌照G2499G11004G53G17902G17959，綠底白字的牌照G2499以G11004G42G17902G17959G4613G2499以G7138G7186G2588現出牌照區域的G1313G13634，G1427于后續處理。原圖、灰度圖及G1866G11464G7053圖G16277圖G21與圖G22。對于G4570G5437色圖象G17728G6454G6116灰度圖象G7114，圖象灰度G1552G2499由下G19766的G1856G5347G16757G12651G726G0110B0588G0302RG7081G709G3RGBG7082G709A114A227A114A1152、邊緣提取邊緣G7171G6363圖像G4628G18108G1154度G2476G2282G7186G14891的G18108分，G7171圖像G20130、G13453理G10317G5461提取和G5430G10378G10317G5461提取等圖像分G7524的重要G3534G11796。所以G3324G8504G6117G1216要對圖像進行邊緣G7828G8991。圖象G3698強處理對圖象牌照的G2499G17789G16760度的G6925G2904和G12628G2282后續的牌照字符定G1313和分割的G19602度都G7171G5468有G5529要的。G3698強圖象對G8616度度的G7053G8873有G726灰度線G5627G2476G6454、圖象平滑處理等。G7081G709灰度校正由于牌照圖象G3324G6305G6680G7114G2475到G12193G12193G7477G1226的G19492G2058和G5190G6212，圖象的灰度G1552G5460G5460與G4466G19481景G10301不G4448G1852G2317配，這G4570G11464G6521影響到圖象的后續處理。G3926果G17908G6116這G12193影響的原因G1039要G7171由于G15999G6680G10301G1319的G17840G17829不同，G1363G5483圖象G1025G3842區域和邊緣區域的灰度G3845G15925，或G7171由于G6680像G3848G3324G6207G6563G7114G2520G9869的G9801G6947度有G17751G3835的G5058G5334而產生圖象灰度G3845G11507，或G7171由于G7345光不G17287而G1363G5483圖像的灰度G2476G2282范圍G5468窄。這G7114G4613G2499以采G11004灰度校正的G7053G8873G7481處理，G3698強灰度的G2476G2282范圍、豐富灰度層次，以達到G3698強圖象的對G8616度和分辨率。G6117G1216發現車輛牌照圖A116A117A118A119A120A121A122象的灰度取G1552范圍G3835多G4628G19492G3324R50,200之間，而且總G1319上灰度偏低，圖象G17751暗。根據圖象處理系統的G7477G1226，G7380好G4570灰度范圍展開到S0,255之間，G1038G8504G6117G1216對灰度G1552作G3926下的G2476G6454G726STRRRMIN,A123RMAXG1363G5483SSMIN,SMAX,G1866G1025，TG1038線G5627G2476G6454G726MINMAXMINMAXMAXMINMINMAXMINMAXRRRSRSRRRSSSG708G22若RG24G19,G21G19G19、SG19，G21G24G24則G72685R7115050255R150255SG7084A124A125A126A127A128A129A130A131A124A132A126A127A133A134A135A136A124A137G7082G709平滑處理對于G2475噪聲G5190G6212嚴重的圖象，由于噪聲G9869多G3324頻域G1025映射G1038高頻分量，因G8504G2499以G3324G17902過低A138A139A140A141A143A144A145G17902濾波器G7481濾除噪聲，但G4466G19481G1025G1038了G12628G2282G12651G8873，也G2499以G11464G6521G3324空域G1025G11004求鄰域平均G1552的G7053G8873G7481削弱噪聲的影響，這G12193G7053G8873稱G1038圖象平滑處理。G1375G3926，某一象素G9869的鄰域S有兩G12193表示G7053G8873G7268鄰域和4鄰域分別對應的鄰域平均G1552G1038，A124A146A147A148A149A150A151A152A148A149A150A153SJIJIFMJIG,1,G708G24G709G1866G1025，MG1038鄰域G1025除G1025心象素G9869FI,J之外包括的G1866它象素總數，對于4鄰域M4，8鄰域M8。然而鄰域平均G1552的平滑處理會G1363G5483圖象灰度急劇G2476G2282的地G7053，尤G1866G7171G10301G1319邊緣區域和字符輪廓等G18108分產生模糊作G11004。G1038了克服這G12193平均G2282引起的圖象模糊現象，G6117G1216給G1025心G9869象素G1552與G1866鄰域平均G1552的G5058G1552設G13634一固定的閾G1552，只有G3835于該閾G1552的G9869才能替G6454G1038鄰域平均G1552，而G5058G1552不G3835于閾G1552G7114，仍保留原G7481的G1552，從而減少由于平均G2282引起的圖象模糊。邊緣提取G7171G17751經典的G12651G8873，G8504處邊緣的提取采G11004的G7171G53OBERTSG12651子。A154A155A156A157A158A159A160綜上所述，結合MATLAG37G4466驗過程，G5483出不G7171每一G12193圖像處理之初都適合濾波和邊界G3698強。本次汽車車牌的識別，G1038了保存更多的有G11004信息，經過多次G8616G17751，選擇圖9作G1038后期處理的依據。（二）、牌照的定位和分割牌照的定G1313和分割G7171牌照識別系統的關鍵技術之一，G1866G1039要G11458的G7171G3324經圖象預處理后的原始灰度圖象G1025G11842定牌照的G1867G1319G1313G13634，G5194G4570包G2559牌照字符的一G3371子圖象從G6984G1022圖象G1025分割出G7481，G1391字符識別子系統識別之G11004，分割的G1946G11842與G2554G11464G6521關系到G6984G1022牌照字符識別系統的識別率。由于牌照圖象G3324原始圖象G1025G7171G5468有G10317G5461的一G1022子區域，G11842G2011G16840G7171G8712平度G17751高的G8190G2533G17829G1296的G19283G7053G5430，它G3324原始圖象G1025的G11468對G1313G13634G8616G17751集G1025，而且G1866灰度G1552與G2620邊區域有G7138G7186的不同，因而G3324G1866邊緣G5430G6116了灰度G12373G2476的邊界，這G7691G4613G1427于G17902過邊緣G7828G8991G7481對圖象進行分割。4G22G21G24I,JG20G25G268G21G22I,JG204A161A162A163A164A165A166A167A168A169A170A171A172A173A174A175A176A177A178A179A1681、牌照區域的定位牌照圖象經過了以上的處理后，牌照區域G5062經G2325分G7138G7186，而且G1866邊緣G5483到了G2258G2214和G2164強。G8504G7114G2499進一G8505G11842定牌照G3324G6984G5145圖象G1025的G1946G11842G1313G13634。這G18336選G11004的G7171數G4410G5430G5589G4410的G7053G8873，G1866G3534本G5617想G7171G11004G1867有一定G5430G5589的G7438G7512G1815素G2447量度和提取圖像G1025的對應G5430G10378以達到對圖像分G7524和識別的G11458的。數G4410G5430G5589G4410的應G11004G2499以G12628G2282圖像數據，保G6357它G1216G3534本的G5430G5589G10317G5461，G5194除G2447不G11468G5190的結G7512。G3324本程G5219G1025G11004到了G14204G13972和G19393合這兩G1022G3534本G17828G12651，G7380后G17836G11004了BG90G68REG68OG83EG81G7481G2447除對象G1025不G11468G5190的G4579對象。A168A169A169A180A181A182A183A184A183A185A186A187A188A183A184A189A190A191A183A185A192A193A194A195A196A197A198A199A194A195A182A183A1842、牌照區域的分割對車牌的分割G2499以有G5468多G12193G7053G8873，本程G5219G7171G2045G11004車牌的G5437色信息的G5437色分割G7053G8873。根據車牌底色等有關的G1820驗G11705識，采G11004G5437色像素G9869統G16757的G7053G8873分割出合理的車牌區域，G11842定車牌底色藍色G53G42G37對應的G2520G14270灰度范圍，然后行G7053G2533統G16757G3324G8504顏色范圍G1881的像素G9869數量，設定合理的閾G1552，G11842定車牌G3324行G7053G2533對圖像進行G14116G15444G2447除G7446G17148G17902過G16757G12651G4559G6226X和YG7053G2533車牌的區域G4448G6116車牌定G1313對分割出的車牌G1582進一G8505處理A200A201A202A203A204A205A206的合理區域。然后，G3324分割出的行區域G1881，統G16757G2027G7053G2533藍色像素G9869的數量，G7380G13468G11842定G4448G6984的車牌區域A207A208A209A210A211A212A213A214A215A216A217A219A220A222A223A228A229A230G22、車牌進一G8505處理經過上述G7053G8873分割出G7481的車牌圖像G1025存G3324G11458G7643G10301G1319、背景G17836有噪聲，要想從圖像G1025G11464G6521提取出G11458G7643G10301G1319，G7380G5132G11004的G7053G8873G4613G7171設定一G1022閾G1552T，G11004TG4570圖像的數據分G6116兩G18108分G726G3835于T的像素G13688和G4579于T的像素G13688，G2375對圖像G1120G1552G2282。均G1552濾波G7171典G3423的線G5627濾波G12651G8873，它G7171G6363G3324圖像上對G11458G7643像素給一G1022模G7507，該模G7507包括了G1866G2620圍的G1032G17829像素。G1889G11004模G7507G1025的G1852G1319像素的平均G1552G7481G1207替原G7481像素G1552。A207A208A231A232A233A222A223A228A229A230A228A234A235A236A237A238A239A240A207（三）、字符的分割與歸一化A241A242A243A244A245A246A247A248A249A250A251A252A253A241MA254NSIZEA255DA66A254A67A0A1A2A3A4A3A5A6A7A8A9A254A77A101JN1A254A79A241A7A15A11SA255JA660A254A81A12A247A254A83A13A241A7A15A11A14A16A17A18A246A12A247A83A241A7A82A19A14A16A17A18A246A90A20A241A7A17A21A22A254A77A10A250A23A24A254A1A69A241A7A17XA97A254A79A25A26A27A28A29A250A23A24A81A12A247A254A246A37A30A31A32A244A245A62A33A34A35A36A38A39A40A41A42A43A44A40A45A46A474020A64A61A48A49A50A41A42A43A44A40A45A46A51A52A53A54A55A56A57A58A59A601、字符分割G3324汽車牌照G14270G2172識別過程G1025，字符分割有G6227前G2563后的作G11004。它G3324前期牌照定G1313的G3534G11796上進行字符的分割，然后G1889G2045G11004分割的結果進行字符識別。字符識別的G12651G8873G5468多，因G1038車牌字符間間G19560G17751G3835，不會出現字符G12908G17842情況，所以G8504處采G11004的G7053G8873G1038G4559G6226G17842續有G7003字的G3371，若G19283度G3835于某閾G1552，則G16760G1038該G3371有兩G1022字符G13464G6116，需要分割。A43A63A65A68A36A38A39A40A70A71A41A42A43A442、字符歸一化一般分割出G7481的字符要進行進一G8505的處理，以G9397G17287下一G8505字符識別的需要。但G7171對于車牌的識別G5194不需要G3838多的處理G4613G5062經G2499以達到正G11842識別的G11458的。G3324G8504只進行了G5414一G2282處理，然后進行后期處理A43A63A72A73A74A75A76A78A80A84A85A86A87A88A89A91（四）、字符的識別字符的識別G11458前G11004于車牌字符識別G50G38G53G1025的G12651G8873G1039要有G3534于模G7507G2317配的G50G38G53G12651G8873以及G3534于G1166工G12082經G13605G13488的G50G38G53G12651G8873。G3534于模G7507G2317配的G50G38G53的G3534本過程G7171G29G20330G1820對G5465識別字符進行G1120G1552G2282G5194G4570G1866G4622G4556G3835G4579G13565G6930G1038字符數據G5223G1025模G7507的G3835G4579，然后與所有的模G7507進行G2317配，G7380后選G7380G1351G2317配作G1038結果。G11004G1166工G12082經G13605G13488進行字符識別G1039要有兩G12193G7053G8873G29一G12193G7053G8873G7171G1820對G5465識別字符進行G10317G5461提取，然后G11004所G14731G5483的G10317G5461G7481G16769G13463G12082經G13605G13488分G12879器。識別效果與字符G10317G5461的提取有關，而字符G10317G5461提取G5460G5460G8616G17751G13803G7114。因G8504，符G10317G5461的提取G4613G6116G1038G11752G12362的關鍵。G2490一G12193G7053G8873則G1817分G2045G11004G12082經G13605G13488的G10317G9869，G11464G6521G6238G5465處理圖像輸入G13605G13488，由G13605G13488G14270G2172G4466現G10317G5461提取G11464G14279識別。模G7507G2317配的G1039要G10317G9869G7171G4466現G12628G2345，G5415字符G17751G16280G6984G7114對字符圖像的缺損、G8757G17869G5190G6212適應G2159強且識別率G11468G5415高。綜合模G7507G2317配的這些G1260G9869G6117G1216G4570G1866G11004G1038車牌字符識別的G1039要G7053G8873。模G7507G2317配G7171圖象識別G7053G8873G1025G7380G1867G1207表G5627的G3534本G7053G8873之一，它G7171G4570從G5465識別的圖象或圖象區域FI,JG1025提取的若G5190G10317G5461量與模G7507TI,JG11468應的G10317G5461量G17892G1022進行G8616G17751，G16757G12651它G1216之間G16280G7696G2282的G1126G11468關量，G1025G1126G11468關量G7380G3835的一G1022G4613表示期間G11468G1296程度G7380高，G2499G4570圖象G5414于G11468應的G12879。也G2499以G16757G12651圖象與模G7507G10317G5461量之間的G17329G12175，G11004G7380G4579G17329G12175G8873G2040定所G4658G12879。然而，G17902G5132情況下G11004于G2317配的圖象G2520G14270的G6116像G7477G1226存G3324A92A93A94A95A96A98A99G5058G5334，產生G17751G3835的噪聲G5190G6212，或圖象經預處理和G16280G7696G2282處理后，G1363G5483圖象的灰度或像素G9869的G1313G13634發生G6925G2476。G3324G4466G19481設G16757模G7507的G7114G1517，G7171根據G2520區域G5430G10378固有的G10317G9869，G12373出G2520G12879G1296區域之間的G5058別，G5194G4570G4493G7143由處理過程引起的噪聲和G1313移等因素都考慮進G2447，按照一些G3534于圖象不G2476G10317G5627所設G16757的G10317G5461量G7481G7512建模G7507，G4613G2499以避免上述問題。A100A101A102A103A104A105A106A107A108A100G8504處采G11004G11468減的G7053G8873G7481求G5483字符與模G7507G1025哪一G1022字符G7380G11468G1296，然后G6226到G11468G1296度G7380G3835的輸出。汽車牌照的字符一般有七G1022，G3835G18108分車牌第一G1313G7171漢字，G17902G5132G1207表車輛所G4658省份，或G7171軍G12193、警別等有G10317定G2559義的字符G12628稱；緊G6521G1866后的G1038字母與數字。車牌字符識別與一般G7003字識別G3324于它的字符數有G19492漢字共約G24G19多G1022，G3835寫英G7003字母G21G25G1022，數字G20G19G1022。所以建立字符模G7507G5223也極G1038G7053G1427。G1038了G4466驗G7053G1427結合本次設G16757所選汽車牌照的G10317G9869，只建立了4G1022數字G21G25G1022字母與G20G19G1022數字的模G7507。G1866他模G7507設G16757的G7053G8873與G8504G11468同。G20330G1820取字符模G7507，G6521著依次取G5465識別字符與模G7507進行G2317配，G4570G1866與模G7507字符G11468減，G5483到的0越多那么G4613越G2317配。G6238每一G5145G11468減后的圖的0G1552G1022數保存，然后G6226數G1552G7380G3835的，G2375G1038識別出G7481的結果。A100A111A109A105A106A110A112A114A113A115A116A105A106A117A118A119A120A121A122A123A124A125A126A117A103A127A128A129A103A104A130A131A132A133A117A134A103A131A132A135A136A137A138A127A139A129A103A104A130A131A132A133A117A103A140A131A132A135A136A137A138A141A105A106A103A104A130A131A132A103A104A142A143A144A145A146A147A142A148A149A146A150A144A151A152A153A147A117A128A129A154A155A137A138A117A153A156A117A105A106A157A158A144A159A125A160A131A132A161A162A145A1635A129A103A104A130A131A132A133A117A103A140A130A164A103A131A132A135A136A137A138A92A93A94A95A96A98A99三、設計結果及分析原始圖像G29預處理后G726車牌定G1313和提取G726字符的分割G726圖像識別G726G17902過以上G6117G1216G2499以看出，該G7053G8873對圖像進行G7828G8991G1867有G17751好的識別效果。G6984G1022過程G11004MATLAG37語言編程G4466現，G7092G7114間滯后感，G2499以G9397G17287G4466G7114G7828出的要求。但G7171G3324設G16757的過程G1025發現，G1363G11004G2490一G5145圖像后，識別效果始G13468沒有那么理想。需要G1582一定的設G13634后才能識別出G11468應的字符。對于識別錯誤情況的分G7524A165A166A167A168A169A170A171G2499G11705，G1039要原因G726一G7171牌照G14270身的G8757漬等影響了圖象的G17148量；G1120G7171牌照字符的分割G3845敗導致的識別錯誤；G1889G4613G7171G18108分字符的G5430G10378G11468G1296G5627，G8616G3926，G37和8；A和4等字符識別結果G2499能發生混淆的情況。G3324車牌識別的過程G1025數字G5223的建立也G5468重要,只有數字G5223的G1946G11842才能保證G7828G8991出G7481的數據正G11842。G2011割出G7481的數據要與數據G5223的數據作G8616G17751，所以數據G5223的數據尤G1038重要。總之，盡管G11458前牌照字符的識別率G17836不理想，但G7171只要G3324分割出的字符的G3835G4579、G1313G13634的G5414一G2282，以及嘗試提取分G12879識別能G2159更好的G10317G5461G1552和設G16757分G12879器等環節上G1889G4448G2904，進一G8505提高識別率也G7171G2499行的。四、總結G4466驗對車牌識別系統的軟G1226G18108分進行了G11752G12362，分別從圖像預處理、車牌定G1313、字符分割以及字符識別等G7053G19766進行了系統的分G7524。G3324車輛牌照字符識別系統的G11752G12362領域，G17829G1972年出現了許多G2011G4466G2499行的識別技術和G7053G8873，從這些新技術和G7053G8873G1025G2499以看到兩G1022G7138G7186的趨勢G726一G7171G2345一的預處理和識別技術都G7092G8873達到理想的結果，多G12193G7053G8873的有G7438結合才能G1363系統有效識別能G2159提高。G3324本系統的設G16757G7114，也汲取了以上一些G12651G8873的G5617想，結合G4466G19481，反復G8616G17751，綜合分G7524；G1120G7171G3324有效G5627和G4466G11004的原則下，結合G12082經G13605G13488和G1166工智能的新技術的應G11004G7171G11752G12362的一G1022G7053G2533。G1889者根據車牌G10317G9869，一般采G11004的車牌定G1313G12651G8873有邊緣G7828G8991定G1313G12651G8873，G8712平G7053G2533灰度G2476G2282G7053G8873，G3534于G5437色G10317G5461的車牌定G1313G7053G8873，G5430G5589濾波，G12082經G13605G13488G8873等。這G18336G6117采G11004的G7171邊緣G7828G8991的G7053G8873G4466現定G1313的。本設G16757雖然只對藍底白字車牌進行分割識別，對黑底白字車牌原則上G6984G1022G12651G8873G2499G11464G6521適G11004，對白底黑字車牌、黃底黑字車牌，需要對車牌定G1313G12651G8873進行調G6984，G5194G4570圖像反G17728G708G19G2476G20、G20G2476G19G709，而車牌