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1、InternationalJournalofEngineeringResearchandGeneralScienceVolume2,Issue5,August-September,2014ISSN2091-2730AnAnalyticalStudyonintegrationofMultibiometricTraitsatMatchingScoreLevelusingTransformationTechniques111SantoshKumar,VikasKumar,ArjunSingh1Asst.Professor,
2、ECEDeptt,Invertisuniversity,BareillyE-Mail-Santosh.v@invertis.orgAbstract—Biometricisoneofthoseegressingtechnologieswhichareexploitedforidentifyingapersononthebasisofphysiologicalandbehavioralcharacteristic.However,unimodalbiometricsystemfacestheproblemoflackof
3、individuality,spoofattacks,non-universality,degreeoffreedometc.,whichmakethesesystemslesspreciseanderroneous.Inordertoovercometheseproblems,multibiometrichasbecomethefavoritechoiceforverificationofanindividualtodeclarehimasanimposteoragenuine.However,thefusiono
4、rintegrationofmultiplebiometrictraitscanbedoneatanyoneofthefourmoduleofageneralmultibiometricsystem.Further,achievingfusionatmatchingscorelevelismorepreferableduetotheavailabilityofsufficientamountofinformationpresentoverthere.Inthispaperwehavepresentedacompara
5、tivestudyofnormalizationmethodologywhichisbasicallyusedtoconvertthedifferentfeaturevectorsofindividualtraitsincommondomaininordertocombinethemasasinglefeaturevector.Keywords—Biometric,Multibiometric,Normalization,Unimodal,UnsupervisedLearningrules,Imposter,Genu
6、ine.1.INTRODUCTIONBiometricsystemisfundamentallyapatternrecognitionsystem.TheBiometricisaGreekwordinwhich‗bio‘standsforlifeand‗metric‘forthemeasurement.Biometricshasbeenusedinthesciencethatstudieslivingorganismsforthedataanalysisproblemsforalongperiod[1].Differ
7、entkindsoftriatsareuseforauthenticationofindividualitysuchasfingerprintrecognition,handgeometry,facialrecognition,irisrecognition,keystrokerecognition,signaturerecognition,gaitrecognition,DNA(De-oxyriboNucleicAcid),voicerecognitionandpalmprint[2].Intheconventio
8、nalapproachofsecurity,manypassword-crackingproficienciesbeingusedtodayandthecomplexitynecessaryforpasswordsmakethesesystemabitlesspreferablechoice.Further,itisalsoeasyforana
