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1、湘潭大学硕士论文基于智能信号处理的复杂背景下车牌识别系统研究AbstractWiththedevelopmentofcomputer,imagerecognition,artificialintelligenceandsoon,theresearchofspecialobjectrecognitionundercomplexbackgroundhasbecomeaforelandinthefieldofscience.Thusitisofgreatimportanceindailylife,nationaldefenseandmilitaryaffairs.
2、Asaspecialcaseofthespecialobjectrecognitionundercomplexconditions,CLPR(CarLicensePlateRecognition)ispresentedinthispaper.Licenseplatelocation,charactersegmentationandrecognitionarestudiedrespectively,andsomeeffectivesolutionsrelatedtoabovethreeaspectsareproposedatthesametime.Inthes
3、tageoflicenseplatelocalization,firstlylicenseplate’sRGBmodelistransformedtoHSVmodel,colorquantificationandcolorfilteraremadebeforethresholdingthelicenseplatewithanapproachofedgecolor-pairs.Basedontheabovepreprocessing,conditionaldilation,amorphologymethodandconnectiveareasdetection
4、algorithmareputforward.Thenthefalselicenseplateregionsareeliminatedonebyoneaccordingtothecriterionsdesignedtojudgewhetheraconnectiveareacandidatebelongstoatruelicenseplate,andoneormorelicenseplatesinanimagecanbelocatedbyadoptingthemethod.Finally,gradientdetectionbasedonlineprojecti
5、onisproposed,whichcanadjustthedistortedlicenseplatetohorizontalposition.Anadvantageforthemethodisthattheobviouslicenseplateborderisnotnecessary,whichmakesupforHoughtransformation.Inthestageofcharactersegmentation,imagepreprocessingsuchastransformingcolorimageintograyscaleimage,hist
6、ogramuniformandOtsuthresholdingismadebeforecharactersegmentation.Thencluster-basedmethod,colligatingmultifeatureoflicenseplate,forcharactersegmentationispresentedbyanalyzingthecharacterruptureandconglutination,whichsegmentedthecharactersinoneortworowscorrectly.Inthestageofcharacter
7、recognition,PCAnetworkisappliedtoextractcharacterfeaturebasedontheanalysisaboutthelocalizationofclassicalmethodandPCA’scomputecomplication.Thenimagereconstructionisavailable,thevalidityofcharacterfeaturecanbe湘潭大学硕士论文提要提要一、绪论随着计算机科学、图像识别、人工智能等学科的发展，复杂环境下的特定目标的识别研究己经成为当前科技发展的前沿，在日常生活
8、和国防军事中具有重要意义。本文以复杂背景中车牌识别为
