论文翻译林本存.docx

论文翻译林本存.docx

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论文翻译林本存

论文翻译-林本存

北京联合大学毕业设计（论文）外文原文及译文

题目：

车牌识别及MATLAB的介绍

专业：

电子工程指导教师：

章学静陈竞圆

学院：

电子系学号：

2009080403104

班级：

200908040301姓名：

林本存

LPRandMATLABsoftwareisintroduced

Automaticlicenseplaterecognition（LPR）hasbeenapracticaltechniqueinthepastdecades.Numerousapplications,suchasautomatictollcollection,criminalpursuitandtrafficlawenforcement,havebeenbenefitedfromit.Althoughsomenoveltechniques,forexampleRFID（radiofrequencyidentification）,WSN（wirelesssensornetwork）,etc.,havebeenproposedforcarIDidentification,LPRonimagedataisstillanindispensabletechniqueincurrentintelligenttransportationsystemsforitsconvenienceandlowcost.LPRisgenerallydividedintothreesteps:

licenseplatedetection,charactersegmentationandcharacterrecognition.ThedetectionsteproughlyclassifiesLPandnon-LPregions,thesegmentationstepseparatesthesymbols/charactersfromeachotherinoneLPsothatonlyaccurateoutlineofeachimageblockofcharactersisleftfortherecognition,andtherecognitionstepfinallyconvertsgreylevelimageblockintocharacters/symbolsbypredefinedrecognitionmodels.AlthoughLPRtechniquehasalongresearchhistory,itisstilldrivenforwardbyvariousarisingdemands,themostfrequentoneofwhichisthevariationofLPstyles,forexample:

（1）Appearancevariationcausedbythechangeofimagecapturingconditions.

（2）Stylevariationfromonenationtoanother.

（3）StylevariationwhenthegovernmentreleasesnewLPformat.

Wesummedthemupintofourfactors,namelyrotationangle,linenumber,charactertypeandformat,aftercomprehensiveanalysesofmulti-styleLPcharacteristicsonrealdata.Generallyspeaking,anychangeoftheabovefourfactorscanresultinthechangeofLPstyleorappearanceandthenaffectthedetection,segmentationorrecognitionalgorithms.IfoneLPhasalargerotationangle,thesegmentationandrecognitionalgorithmsforhorizontalLPmaynotwork.IftherearemorethanonecharacterlinesinoneLP,additionallineseparationalgorithmisneededbeforeasegmentationprocess.Withthevariationofcharactertypeswhenweapplythemethodfromonenationtoanother,theabilitytore-definetherecognitionmodelsisneeded.Whatismore,thechangeofLPstylesrequiresthemethodtoadjustbyitselfsothatthesegmentedandrecognizedcharactercandidatescanmatchbestwithanLPformat.

Severalmethodshavebeenproposedformulti-nationalLPsormultiformatLPsinthepastyearswhilefewofthemcomprehensivelyaddressthestyleadaptationproblemintermsoftheabovementionedfactors.SomeofthemonlyclaimtheabilityofprocessingmultinationalLPsbyredefiningthedetectionandsegmentationrulesorrecognitionmodels.

Inthispaper,weproposeaconfigurableLPRmethodwhichisadaptablefromonestyletoanother,particularlyfromonenationtoanother,bydefiningthefourfactorsasparameters.Userscanconstrainthescopeofaparameterandatthesametimethemethodwilladjustitselfsothattherecognitioncanbefasterandmoreaccurate.SimilartoexistingLPRtechniques,wealsoprovidedetailsofdetection,segmentationandrecognitionalgorithms.ThedifferenceisthatweemphasizeontheconfigurableframeworkforLPRandtheextensibilityoftheproposedmethodformultistyleLPsinsteadoftheperformanceofeachalgorithm.

Inallusiontothedeficiencyofthesinglemodellocation,anewpositioningmethodconcerningthelicenseplate，whichisbasedonmulti-colormodeIs,hasbeenpresentedinthispaper．Firstly,theinputimageofRGBistransformedintoHSVandY1Qcolorspaces，fromwhichcomprehensiveinformationwillbeobtained．Furtherworkcanbedone：

byiIltegratingthisinformation,imagesegmentationwillheabletomoveoutlargenumbersofdisturbingbackgroundmessage,leavingthosesmallerareas（1icenseplateitselfisincluded）whosecolorsaresimilartoit，pavmthewayforlicenseplatelocation-Afterthat，licenseplatecanbecorrectlylocatedthroughthe"two-step-location"method．Inthefirststep,theareatoheresearchedwillhereducedgreatlybythehelpofsectionthinkingwhichmakescoarsepositioningcometrue．Inthesecondstep，theroughlocatedimagescanbedividedintotwosituations：

thoseinwhichthecolorofthetargetareasofalicenseplateisquitcdifferentfromthenon-targetareaandthoseinwhichthecolorofthetargetareaisaliketothenon-target．Inordertolocatetheficenseplateprecisely,themethodofcolorsegmentationandthatofedgedetectionbasedonLogoperatorareadoptedrespectively．

Withthehigh-speeddevelopmentofournationaleconomy．therearemoreandmoreconstructinthedomesticexpressway，urbanroad，andparkingarea，etc．Therequisitiononthetrafficcontrol，safetymanagementimprovesdayandday．Theintelligenttrafficsystem（ITS）hasalreadybecomethemaindirectionofpresenttrafficadministrationdevelopment，andvehiclelicenseplaterecognition（LPR）systemascoreof，playsaveryimportantrole．Itoccupiesimportantroleintheprojectmanagementofexpressway，urbanroadandparkingarea，etc．Itswideapplicationwillcontributetotheprocessofthetrafficmanagementautomationofourcountry．

Beingaspecialcomputervisionsysteminthereal-timecase．theLPRsystemmainlyincludesthesubsystemoflicenseplatedetectionandcharactersegmentationandrecognition．TheLPRsysteminvolvesnumerousdisciplinedomains．suchasPatternRecognitionandArtificialIntelligence，ComputerVision，DigitalImageProcessingetc．ThedetectionoflicenseplatesisthekeyofLPRsystem．．Becauseofthecomplexofimagebackground，theuncertaintyofplatepositionandimagequality,thelocationofplatesisnotsatisfied．Therefore，thestudyonthealgorithmoflicenseplatelocationisalwaysthehotspotproblem．

wehavesummarizedthelatestresearchachievementsanddevelopmentoflicenseplatelocationandsegmentation．Thisthesisemphasizeatthemethodofcastshadowandthefiltermethodofcolor．Severalcharacteristicofframehelpthecorrectingoftheplatetiltingtooneside．ItsnumbercharacteriSusedtoprecisethepartitionofcharacterlistdistrict．TheexperimentalresultsshowthatthisalgorithmiSefncientinlocatingthelicenseswhilenotsensitivetounconstrainedilluminationconditionsandirregularbackground．Otherwisewedoresearchforcharactersegmentation．

AstheworldMatlabmostwidelyappliedmathematicssoftwarehasverystrongnumericalcalculationandanalysisofdataprocessing,systemanalysis,thegraphicdisplayevensymbolsoffunctionandthecomputationofrichtoolbox.

Licenseplatelocationontheneedtousethematlabsoftware.MATLABisahigh-levellanguageandinteractiveenvironmentthatenablesyoutoperformcomputationallyintensivetasksfasterthanwithtraditionalprogramminglanguagessuchasC,C++,andFortran

YoucanuseMATLABinawiderangeofapplications,includingsignalandimageprocessing,communications,controldesign,testandmeasurement,financialmodelingandanalysis,andcomputationalbiology.Add-ontoolboxes（collectionsofspecial-purposeMATLABfunctions,availableseparately）extendtheMATLABenvironmenttosolveparticularclassesofproblemsintheseapplicationareas.

MATLABprovidesanumberoffeaturesfordocumentingandsharingyourwork.YoucanintegrateyourMATLABcodewithotherlanguagesandapplications,anddistributeyourMATLABalgorithmsandapplications.

KeyFeatures：

High-levellanguagefortechnicalcomputing.

Developmentenvironmentformanagingcode,files,anddata.

Interactivetoolsforiterativeexploration,design,andproblemsolving.

Mathematicalfunctionsforlinearalgebra,statistics,Fourieranalysis,filtering,optimization,andnumericalintegration.

2-Dand3-Dgraphicsfunctionsforvisualizingdata.

Toolsforbuildingcustomgraphicaluserinterfaces.

FunctionsforintegratingMATLABbasedalgorithmswithexternalapplicationsandlanguages,suchasC,C++,Fortran,Java,COM,andMicrosoftExcel.

MATLABprovidesahigh-levellanguageanddevelopmenttoolsthatletyouquicklydevelopandanalyzeyouralgorithmsandapplications.

TheMATLABlanguagesupportsthevectorandmatrixoperationsthatarefundamentaltoengineeringandscientificproblems.Itenablesfastdevelopmentandexecution.

WiththeMATLABlanguage,youcanprogramanddevelopalgorithmsfasterthanwithtraditionallanguagesbecauseyoudonotneedtoperformlow-leveladministrativetasks,suchasdeclaringvariables,specifyingdatatypes,andallocatingmemory.Inmanycases,MATLABeliminatestheneedfor‘for’loops.Asaresult,onelineofMATLABcodecanoftenreplaceseverallinesofCorC++code.

Atthesametime,MATLABprovidesallthefeaturesofatraditionalprogramminglanguage,includingarithmeticoperators,flowcontrol,datastructures,datatypes,object-orientedprogramming（OOP）,anddebuggingfeatures.

MATLABletsyouexecutecommandsorgroupsofcommandsoneatatime,withoutcompilingandlinking,enablingyoutoquicklyiteratetotheoptimalsolution.

VisualizingData：

AllthegraphicsfeaturesthatarerequiredtovisualizeengineeringandscientificdataareavailableinMATLAB.Theseinclude2-Dand3-Dplottingfunctions,3-Dvolumevisualizationfunctions,toolsforinteractivelycreatingplots,andtheabilitytoexportresultstoallpopulargraphicsformats.Youcancustomizeplotsbyaddingmultipleaxes;changinglinecolorsandmarkers;addingannotation,LaTEXequations,andlegends;anddrawingshapes.

MATLABcontainsmathematical,statistical,andengineeringfunctionstosupportallcommonengineeringandscienceoperations.Thesefunctions,developedbyexpertsinmathematics,arethefoundatio