文献翻译——基于细节分数匹配法的指纹识别.doc

文献翻译——基于细节分数匹配法的指纹识别.doc

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外文文献资料

FINGERPRINTRECOGNITIONUSINGMINUTIASCOREMATCHINGABSTRACT:

ThepopularBiometricusedtoauthenticateapersonisFingerprintwhichisuniqueandpermanentthroughoutaperson’slife.Aminutiamatchingiswidelyusedforfingerprintrecognitionandcanbeclassifiedasridgeendingandridgebifurcation.InthispaperweprojectedFingerprintRecognitionusingMinutiaScoreMatchingmethod（FRMSM）.ForFingerprintthinning,theBlockFilterisused,whichscanstheimageattheboundarytopreservesthequalityoftheimageandextracttheminutiaefromthethinnedimage.Thefalsematchingratioisbettercomparedtotheexistingalgorithm.

Key-words:

-FingerprintRecognition,Binarization,BlockFilterMethod,MatchingscoreandMinutia.

1.Introduction

Biometricsystemsoperateonbehavioralandphysiologicalbiometricdatatoidentifyaperson.Thebehavioralbiometricparametersaresignature,gait,speechandkeystroke,theseparameterschangewithageandenvironment.Howeverphysiologicalcharacteristicssuchasface,fingerprint,palmprintandirisremainsunchangedthroughoutthelifetimeofaperson.Thebiometricsystemoperatesasverificationmodeoridentificationmodedependingontherequirementofanapplication.Theverificationmodevalidatesaperson’sidentitybycomparingcapturedbiometricdatawithreadymadetemplate.Theidentificationmoderecognizesaperson’sidentitybyperformingmatchesagainstmultiplefingerprintbiometrictemplates.Fingerprintsarewidelyusedindailylifeformorethan100yearsduetoitsfeasibility,distinctiveness,permanence,accuracy,reliability,andacceptability.Fingerprintisapatternofridges,furrowsand

minutiae,whichareextractedusinginkedimpressiononapaperorsensors.Agoodqualityfingerprintcontains25to80minutiaedependingonsensorresolutionandfingerplacementonthesensor.Thefalseminutiaearethefalseridgebreaksduetoinsufficientamountofinkandcross-connectionsduetooverinking.Itisdifficulttoextractreliablyminutiafrompoorqualityfingerprintimpressionsarisingfromverydryfingersandfingersmutilatedbyscars,scratchesduetoaccidents,injuries.MinutiabasedfingerprintrecognitionconsistsofThinning,Minutiaeextraction,MinutiaematchingandComputingmatchingscore.Motivation:

Themotivationbehindtheworkisgrowingneedtoidentifyapersonforsecurity.Thefingerprintisoneofthepopularbiometricmethodsusedtoauthenticatehumanbeing.TheproposedfingerprintverificationFRMSMprovidesreliableandbetterperformancethantheexistingtechnique.

Contribution:

InthispaperweusedFingerprintRecognitionusingMinutiaScoreMatchingmethodwiththehelpofMATLABcodes.Minutiaeareextractedfromthethinnedimageforbothtemplateandinput

image.Finallyboththeimagesaresubjectedtomatchingprocessandmatchingscoreiscomputed.

Organization:

Thispaperisorganizedintothefollowingsections.SectionIIisandefinitionoftherelatedworkanddescribesModelforfingerprintrecognitionindetail,SectionIIIgivesthealgorithm.InsectionIVperformanceanalysisandresultsarediscussedandfinallyinsectionVgivetheconclusions

2.Relatedwork

G.SambasivaRaoetal.,proposedfingerprintidentificationtechniqueusingagraylevelwatershedmethodtofindouttheridgespresentonafingerprintimagebydirectlyscannedfingerprintsorinked36impression.RobertHastingsdevelopedamethodforenhancingtheridgepatternbyusingaprocessoforienteddiffusionbyadaptationofanisotropicdiffusiontosmooththeimageinthedirectionparalleltotheridgeflow.Theimageintensityvariessmoothlyasonetraversealongtheridgesorvalleysbyremovingmostofthesmallirregularitiesandbreaksbutwiththeidentityoftheindividualridgesandvalleyspreserved.JinweiGu,

etal.,proposedamethodforfingerprintverificationwhichincludesbothminutiaeandmodelbasedorientationfieldisused.Itgivesrobustdiscriminatoryinformationotherthanminutiaepoints.Fingerprintmatchingisdonebycombiningthedecisionsofthematchersbasedontheorientationfieldandminutiae.V.VijayaKumariandN.SuriyanarayananproposedamethodforperformancemeasureoflocaloperatorsinfingerprintbydetectingtheedgesoffingerprintimagesusingfivelocaloperatorsnamelySobel,Roberts,Prewitt,CannyandLoG.Theedgedetectedimageisfurthersegmentedtoextractindividualsegmentsfromtheimage.RajuSonavane,andB.S.Sawantpresentedamethodbyintroducingaspecialdomainfingerprintenhancementmethodwhichdecomposesthefingerprintimageintoasetoffilteredimagesthenorientationfieldisestimated.Aqualitymaskdistinguishestherecoverableandunrecoverablecorruptedregionsintheinputimagearegenerated.Usingtheestimatedorientationfield,theinputfingerprintimageisadaptiv