基于不可分小波变换的指纹增强

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1、compactsupported,itstenorproductcan,however,revealthesingularitiesinthethreedirections(i.e.horizontal,verticalanddiagonal)only.Theexperimentalresultsshowthatourproposedalgorithmcanincreasethecontrastbetweenridgesandvalleys,andreducenoisesinthegray-scalefingerprintimages.Weusethefingerprintdatabas

2、eFVC2002toexperimentontheresults.Theresultsdemonstratethattheproposedmethodisveryefficientincontrastenhancementwithoutunder-enhancementandover-enhancement,anditissuperiortosomeotherexistingmethods.Keywords:BiometricSystem,FingerprintImageEnhancement,WaveletTransform,ContrastEnhancement,Non-separa

3、bleWaveletTransformVListofFiguresFigures1.1Biometricmarketreport(internationalbiometricgroup)estimatedtherevenueofvariousbiometricsintheyear2002..............................................3Figure1.2Verificationvs.Identification....................................................................

4、.........6Figure1.3Variouscommerciallive-scanfingerprintscanners............................................8Figure1.4GeneralschematicforanFTIRbasedopticalsensor..........................................9Figure1.5Capacitivesensing...................................................................

5、.........................10Figure1.6Variousapplicationsinvolvingelectronicaccessortransactionthatrequirereliableautomaticuserrecognition....................................................................................13Figure2.1Fingerprintrecognitionprocess.....................................

6、...................................18Figure2.2Flowchartoftheminutiaeextractionalgorithm................................................18Figure2.3Ridgesandvalleysinafingerprintimage.........................................................19Figure2.4Globalfingerprintridgeflowpatterns..............

7、................................................20Figure2.5Sevenmostcommonminutiaetypes.................................................................21Figure2.6(a)Aridgeendingminutia.(b)Aridgebifurcationminutia.....