基于bp神经网络的车牌识别技术研究(英文版)

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1、基于BP神经网络的车牌识别技术研究(英文版)ResearchonlicenseplaterecognitiontechnologybasedonBPneuralnetworkWiththecontinuousdevelopmentofscienceandtechnology,meansoftrafficmanagementisfrommanualmanagementgraduallytransformedintoautomaticallyorsemiautomatically,licenseplaterecognitionasoneofthe

2、keyandhotissuesintheresearchfieldofmoderntrafficengineeringbymoreandmorepeople'sattention.Inrecentyears,neuralnetworkshavebeenappliedinmanyfields,andthecharacteristicsofneuralnetworksareusedtomakethecharacterrecognitionbasedonBPneuralnetwork.Thisarticlethroughtoinlicens

3、eplaterecognitionsystemimagepreprocessing,fourkeysteps:licenseplatelocation,charactersegmentationandcharacterrecognitionofproposedakindoflicenseplatecharactersbasedonneuralnetworkrecognitionalgorithm.Usedthismethodoflicenseplateimageexperimentswereconductedtoextractthefeatu

4、reofthelicenseplatecharactersample,andundertheenvironmentofMATLABonthelicenseplatecharacterrecognitionwassimulated.Theresultsshowedthatthisalgorithmthecharactersonthelicenseplatelocationandsegmentationhasgoodeffect,thelicenseplatecharacterrecognitionwithcertainaccuracy.Keyw

5、ords:BPneuralnetwork;licenseplatelocation;licenseplaterecognition;charactersegmentation;characterrecognition1IntroductionWiththeincreaseofthenumberofcars,therearetrafficcongestionintheworld.Inordertosolvethisproblem,manycitieswillbewidenedlane,butstillfarfromsolvingtheprobl

6、em.Nottoincreasetheexistingroadfacilities,howtoimprovetheefficiencyoftransportationhasbecomethefocusofresearchintheworld.Intelligenttransportationsystem(Intelligent-TransportationSystemITS)isthemaindevelopmenttrendofthefuturetrafficregulationsystem.Vehiclelicenseplaterecogn

7、itiontechnology(License-PlateRecognitionLPR)isoneofthecoretechnologiesinITS.Therefore,theresearchanddevelopmentoflicenseplaterecognitionsystemisofgreatpracticalvalueforthedevelopmentofChina'strafficmanagementfield.Atpresent,therearestillmanyproblemsinthelicenseplatereco

8、gnitionsystem.Recognitionrateisnotpossibletodoonehundredpercent,butwiththedeepenin