基于掌纹的身份自动识别技术分析

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1、●▲^，ABSTRA(汀ABSTRACTBiometricsisatechnique，thatthroughthecomputerwimavarietyofsensors，biometricprincipleandotherhigh-techtechniquecloselyintegrated，u$etheinherenthumanphysiologicalcharacteristicsandbehavioralcharacteristics，tocarryouttheidentificationofp

2、ersonalstatus．Thisnewtechnologycanbeappliedtohomelandsecurity，socialwelfare,financialande-commerce．BiometricisbecomingthehighestPotentialtechnologyinthise豫．PalmprintrecognitionexploitsthedefectiveinformationonourpalmtoseparatedifferentPersons．DifferentPa

3、lmshavestotallydifferentpalmprints．Inotherwords，palmpnntisunique．Therefore，itCanbeusedforPersonalidentification．Theadvantagesofpalmprintrecognitionaredirect，friendly，convenient，uniqueandapplywildly．Thisdissertationconcentratesontheresearchofthekeytechnol

4、ogiesandalgorithmsinpalmprintidentificationsystem．Accordingtothedetailresearchofotherbiometrics，andconsideringthecharacteristicsofpalmprints，weProposeaseriesofefficientpalmprintpreprocessing，featureextractionalgorithms．Indetail，thisdissertationconcentrat

5、esontheresearchofthefollowingkey．Bystudyingtheorientation,thefeatureextraction，classificationandthematchingofpalmprint，thedissertationbringsforwardaseriesofmethods，whicharerobustandfittotheanalysisofpalmprint．Themainapproachesareasfollows：Firstly,intheas

6、pectofthepreprocessofpalmprintimage，wefocusedontheessentialtechnologiesofpalmprintidentificationofcoloradjustment，wepro—posedastatisticalmethodtofilteroutsplash．Basedonthistechnologies，thispaperhaddonesomepreprocessingtothepalmprintimages．Aftertranslated

7、theoriginalimageintobinaryimage，foundtwokeypositioningpointsinthepalmprintimageusingautomaticdetectingmethod．Thenthepalmprintimagewasrotatedaccordingtothetwokeypositioningpoints．Finally，thispaperresearchPCApivotaltechnologyofthepalmprintidentificationtec

8、hnologywithgreatconcentrationandpainstaking，andtakeimprovementandinnovationonthebasisoftheiralgorithm．ThatisaimingatthatclassicalPCAalgorithmisnotapplicabletotheclassification，andtheexperimentsinthispaper，IIABSTRACTclassif