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1、ResearchonlicenseplaterecognitiontechnologybasedonBPneuralnetworkWiththecontinuousdevelopmentofscienceandtechnology,meansoftrafficmanagementisfrommanualmanagementgraduallytransformedintoautomaticallyorsemiautomatically,licenseplaterecognitionasoneofthekeyandh
2、otissuesintheresearchfieldofmoderntrafficengineeringbymoreandmorepeople'sattention.Inrecentyears,neuralnetworkshavebeenappliedinmanyfields,andthecharacteristicsofneuralnetworksareusedtomakethecharacterrecognitionbasedonBPneuralnetwork.Thisarticlethroughtoinli
3、censeplaterecognitionsystemimagepreprocessing,fourkeysteps:licenseplatelocation,charactersegmentationandcharacterrecognitionofproposedakindoflicenseplatecharactersbasedonneuralnetworkrecognitionalgorithm.Usedthismethodoflicenseplateimageexperimentswereconduct
4、edtoextractthefeatureofthelicenseplatecharactersample,andundertheenvironmentofMATLABonthelicenseplatecharacterrecognitionwassimulated.Theresultsshowedthatthisalgorithmthecharactersonthelicenseplatelocationandsegmentationhasgoodeffect,thelicenseplatecharacterr
5、ecognitionwithcertainaccuracy.Keywords:BPneuralnetwork;licenseplatelocation;licenseplaterecognition;charactersegmentation;characterrecognition1IntroductionWiththeincreaseofthenumberofcars,therearetrafficcongestionintheworld.Inordertosolvethisproblem,manycitie
6、swillbewidenedlane,butstillfarfromsolvingtheproblem.Nottoincreasetheexistingroadfacilities,howtoimprovetheefficiencyoftransportationhasbecomethefocusofresearchintheworld.Intelligenttransportationsystem(Intelligent-TransportationSystemITS)isthemaindevelopmentt
7、rendofthefuturetrafficregulationsystem.Vehiclelicenseplaterecognitiontechnology(License-PlateRecognitionLPR)isoneofthecoretechnologiesinITS.Therefore,theresearchanddevelopmentoflicenseplaterecognitionsystemisofgreatpracticalvalueforthedevelopmentofChina'straf
8、ficmanagementfield.Atpresent,therearestillmanyproblemsinthelicenseplaterecognitionsystem.Recognitionrateisnotpossibletodoonehundredpercent,butwiththedeepeningofresearch,licenseplaterecogn
