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1、基于神经网络的车牌识别（LicenseplaterecognitionbasedonNeuralNetwork）Automaticlicenseplaterecognitionsystembasedonneuralnetwork*ZhangXinghuiDu1ChenZengqiang2rise1yuanZhuzhi21、Departmentofcomputerscience,TianjinvocationalandTechnicalTeachersCollege,Tianjin300222,China(Departmentofautom
2、ation,NankaiUniversity,Tianjin300071)(2)Inthispaper,thecarlicenseplatetiltcorrection,vehiclelicenseplatelocation,charactersegmentation,characterrecognitionandprocessingarediscussedindetail.Inthispaper,BPnetworkisusedtostudyvehiclelicenseplatecharactersPracticeclassificati
3、on,achievebetterresults.Keywordsvehiclelicenseplate;Houghtransform;characterrecognition;BPnetwork;Mobile,Sign,Recognition,Based,on,Neural,NetworksZhang,Xinghui1,Du,Shengzhi1,Chen,Zengqiang2,Yuan,Zhuzhi21(Tianjin,Vocational,Technical,s,College,Tianjin,300222)2(Nankai,Unive
4、rsity,Tianjin,Teacher)Abstract,Mobile,sign,recognition,is,key,technique,a,of,traffic,administering.This,,paper,discusses,about,slope-Adjusting,mobile,sign,detection,characters,departing,and,characters,recognition.,In,this,paper,we,use,BP,neu-Ral,networks,to,learn,classify
5、,characters,and,and,obtain,a,good,result.Key,words,Mobile,sign,Hough,transform,Characters,recognition,,BP,neural,networks1IntroductionAutomaticidentificationofvehiclelicenseplateisatypicalproblemofautomatictargetrecognitionQuestions.Thecharactersinthevehiclelicenseplatear
6、emainlylimitedChinesecharacters,lettersandnumbersAfixedprintformat.Duetonaturalfactors,suchaslight,Climateandhumanfactors(suchaslicenseplatefouling,deformation)causedbysamplingGeometricdeformation,strokedefectandadditiverandomnoiseareintroducedinthedataDistortionofprinted
7、charactersintheoriginalrulesmakesitdifficulttorecognize.TheautomaticidentificationsystemofvehiclelicenseplateisobtainedbylicenseplateimageandlicenseplateTiltcorrection,licenseplatelocation,charactersegmentation,characterrecognitionandprocessingAndsoon.Isthevehicleplateima
8、gephotographedbydigitalcamera,meterAfterthecomputeriscollectedbyvideocard,theBMPfileisobtained.2
