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1、本科生毕业设计外文翻译题 目 车牌定位识别系统姓 名 学 号 学 院 信息工程学院专 业 电子信息工程 指导教师 11外文资料原文BuildinganAutomaticVehicleLicense-PlateRecognitionSystemAbstract—Duetoahugenumberofvehicles,moderncitiesneedtoestablisheffectivelyautomaticsystemsfortrafficmanagementandscheduling.OneofthemostusefulsystemsistheVehicleLicen
2、se-Plate(VLP)RecognitionSystemwhichcapturesimagesofvehiclesandreadtheseplates’registrationnumbersautomatically.Inthispaper,wepresentanautomaticVLPRecognitionSystem,ISeeCarRecognizer,toreadVietnameseVLPs’registrationnumbersattraffictolls.Oursystemconsistsofthreemainmodules:VLPdetection,plate
3、numbersegmentation,andplatenumberrecognition.InVLPdetectionmodule,weproposeanefficientboundaryline-basedmethodcombiningtheHoughtransformandContouralgorithm.Thismethodoptimizesspeedandaccuracyinprocessingimagestakenfromvariouspositions.Then,weusehorizontalandverticalprojectiontoseparateplate
4、numbersinVLPsegmentationmodule.Finally,eachplatenumberwillberecognizedbyOCRmoduleimplementedbyHiddenMarkovModel.Thesystemwasevaluatedintwoempiricalimagesetsandhasproveditseffectiveness(seesectionIV)whichisapplicableinrealtraffictollsystems.ThesystemcanalsobeappliedtosomeothertypesofVLPswith
5、minorchanges.I.INTRODUCTIONTheproblemofVLPrecognitionisaveryinterestingbutdifficultone.Itisveryusefulformanytrafficmanagementsystems.VLPrecognitionrequiressomecomplextasks,suchasVLPdetection,segmentationandrecognition.Thesetasksbecomemoresophisticatedwhendealingwithplateimagestakeninvarious
6、inclinedanglesorplateimageswithnoise.Becausethisproblemisusuallyusedinreal-timesystems,itrequiresnotonlyaccuracybutalsofastprocessing.MostVLPrecognitionapplicationsreducethecomplexitybyestablishingsomeconstrainsonthepositionanddistancefromthecameratovehicles,andtheinclinedangles.Bythatway,t
7、herecognitionrateofVLPrecognitionsystemshasbeenimprovedsignificantly.Inaddition,wecangainmoreaccuracybyusingsomespecificfeaturesoflocalVLPs,suchasthenumberofcharacters,thenumberofrowsinaplate,orcolorsofplatebackground,ortheratioofwidthtoheightofaplate.II