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1、ARTICLEINPRESSPatternRecognition43(2010)2833–2844ContentslistsavailableatScienceDirectPatternRecognitionjournalhomepage:www.elsevier.com/locate/pr$AdaptivefingerprintporemodelingandextractionQijunZhao,DavidZhang,LeiZhang,NanLuoBiometricsResearchCentre,DepartmentofComputing,The
2、HongKongPolytechnicUniversity,HungHom,Kowloon,HongKongarticleinfoabstractArticlehistory:SweatporesonfingerprintshaveproventobediscriminativefeaturesandhaverecentlybeenReceived30October2009successfullyemployedinautomaticfingerprintrecognitionsystems(AFRS),wheretheextractionofRece
3、ivedinrevisedformfingerprintporesisacriticalstep.Mostoftheexistingporeextractionmethodsdetectporesbyusinga15December2009staticisotropicporemodel;however,theirdetectionaccuracyisnotsatisfactoryduetothelimitedAccepted20February2010approximationcapabilityofstaticisotropicmodelstov
4、arioustypesofpores.ThispaperpresentsadynamicanisotropicporemodeltodescribeporesmoreaccuratelybyusingorientationandscaleKeywords:parameters.AnadaptiveporeextractionmethodisthendevelopedbasedontheproposeddynamicAutomaticfingerprintrecognitionanisotropicporemodel.Thefingerprintimag
5、eisfirstpartitionedintowell-defined,ill-posed,andPoreextractionbackgroundblocks.AccordingtothedominantridgeorientationandfrequencyoneachforegroundPoremodelsblock,alocalinstantiationofappropriateporemodelisobtained.Finally,theporesareextractedbyBiometricsfilteringtheblockwiththead
6、aptivelygeneratedporemodel.Extensiveexperimentsareperformedonthehighresolutionfingerprintdatabasesweestablished.Theresultsdemonstratethattheproposedmethodcandetectporesmoreaccuratelyandrobustly,andconsequentlyimprovethefingerprintrecognitionaccuracyofpore-basedAFRS.&2010Elsevier
7、Ltd.Allrightsreserved.1.IntroductionrequirementslimittheuseofLevel3featuresinconventionalAFRS.ThankstotheadvancesinimagingtechniquesandthedemandforFingerprintisthemostwidelyusedbiometriccharacteristicformoresecurebiometricsystems,recentlyresearchershavebeenpersonalidentificatio
8、nbecauseofitsuniquenessandstabilitypayingmoreandmoreattention
