细节点旋向性在指纹识别算法中的应用

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1、AbstractAbstractMinutiae-basedfingerprintmatchingisthemostclassicfingerprintidentificationmethod.Buttraditionalminutiae-basedmatchingalgorithmsarechallengedbytheprobabilitythatminutiaefromdifferentregionsofdifferentfingersmaynotbewellmatched,andhenceleadtoerroneousmatchingresults

2、.Inthispaper,wecombinetheglobalinformationandtheminutiaedescriptortogenerateanewfeature-minutiaehandednessandhenceimprovethematchingperformanceoffingerprintimage.First,fitoutthedirectionfieldofthefingerprintimageaccordingtotheminutiaetemplate;second,tracktheridgeinformationaccord

3、ingtotheorientationfield,determinetheminutiaehandednesswhoseridgebendingexceedsacertainthresholdaccordingtothepositionalrelationshipoftheminutiaeandridgeendings.Therearethreetypesofminutiaehandedness:right-handed,left-handedandnon-handed.Finally,establishaSupportVectorMachinetotr

4、aintheremainingminutiaehandedness,establishamatchingrulesbetweenminutiaedescriptorandminutiaehandedness,andthencompletethematchingexperiments.AlargenumberofmatchingexperimentsareconductedontheISOtemplateprovidedbyFVC.Theexperimentresultsshow:1)Thematchingmethodusingminutiaedescri

5、ptorsandminutiaehandednessissuperiortothematchingmethodusingonlyminutiaedescriptorsinmatchingperformance.Thisprovedthattheminutiaedescriptorsandminutiaehandednesshavegoodcomplementary,andenhancethereliabilityofthematch.2)ThetrainedSupportVectorMachinemodelcanwelldistinguishintern

6、alandexternalcharacteristicsoftheridge,andextractreliableminutiaehandedness.3)Applythealgorithmtotheminutiae-basedfingerprintmatching,canachieveverygoodfusionofglobalinformationandlocalinformation,whilemaintaininggoodrejectionratewhileeffectivelyreducetheerrorrate,andimprovethepe

7、rformanceofthefingerprintidentificationsystem.Keyword:fingerprintidentificationminutiaeminutiaehandednessSupportVectorMachine目录目录第一章绪论.............................................................................................................11.1指纹识别应用简介.........................

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