离线灰度手写签名鉴别

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1、第1I页一壅圣翌垫垄堂堡圭堂垡笙奎———————————————————————————————————————————————————————————————————————一AbstractWiththepopularityofcreditcard，theattendantsecurityissuesarelncreasinglyprominent，traditionalpasswordauthenticationmethodcannotmeettheneedsofthecommunity．Usingbiologicalcharacteristics

2、toverifypersonalidentitycaneffectivelysolvethesecurityIssuesotauthentication．Signaturecharacteristicisoneofbiologicalcharacteristics．Itiswidelyusedincontracts，certificates，agreements，documentsandotherinstruments．Assomesignatureswereforged，maybecauseharmtosociety．Sotheresearchingo

3、fofflinesignaturesystem1Sveryimportant．andithaspracticalsignificanceandtheoreticalvalue．ThispaperconsidersSIFTfeaturestomostthesolebasisofthesignatureverification，whilethetramtionalmethodusethestaticfeaturesandpseudo—dynamicfeatures．Thehandwrittensi蛆atureverificationofthestatusqu

4、oathomeandabroad，aswellasthedevelopmentsareintroducedfirst．Thenputforwardaviableidentificationalgorithmbasedongray‘scalesignatureimage：inthepreprocessing，’’Quartet”isusedtodeterminesignatureimageboundary．ThenthesigmaCureimageshouldbenormalized．SubsequenttheextractionoftheSIFTfeat

5、urepointsinthegrayscaleimageareusedtothefollow—upsignatureverificationwork．MatchingSIFTf色aturepointsusingRANSACalgorithmtoeliminatethemisallocation·EachpieceofsignatureimagemayhaveanumberofSIFTfeaturesandthelocationoftheseSIFTfeatureswillbedifferent，youCannotusethematchingwayoftr

6、aditionalstaticcharacteristicsandpseudo．dynamiccharacteristics．ThisarticleextractmultiplesignaturesincommonSIFTf-eanlresasuniversalSIFTfeaturesofthesignatureanddepositethemtothesignatureSIFTfeaturelibrary．Inthefinaldecision．makingstage，usingthefeaturesintheSIFTfeaturelibrarymatch

7、withthesignaturewhichneedtobeidentify．Ifthenumberofsuccessfulmatchpointsisoveracertainamountthatthesignatureisreal．Thefinalexperimentalresultsshowthatthesystemaccuracyratereaches88．5％．，theaccuracvoftheidentificationofhigh．1evelsignaturealsoreaches80％，higheraccuracyinasimilarsigna

8、tureverificationsystem．Keywords：Offiines