虹膜識(shí)別中的噪聲檢測研究.pdf

1、哈爾濱工程大學(xué)碩士學(xué)位論文虹膜識(shí)別中的噪聲檢測研究姓名：田麗清申請學(xué)位級別：碩士專業(yè)：控制理論與控制工程指導(dǎo)教師：孟浩20090201哈爾濱工程大學(xué)碩十學(xué)位論文ABSTRACTWiththedevelopmentofinformationtechnologyincontemporarysocietythedemandsforsecurityarebecomingmoreandmoreimportantSothetechnologyofb

2、iometricsidentificationwasimprovedandappliedonmanyfieldsAsirisidentificationisoneofpotentialbiometricstechnologies，ithasbeengraduallyappliedtosafetyfieldsIrisidentificationisbasedoniristexturetoidentifypersons，anditisone

3、ofmostaccuratebiometricstechnologiesBecausetheirisrecognitionisintheascendantabroad，andindomesticitisjustonthebeginningSo，itisimportantandvaluabletoanalyzeprocessingtheirisimagedsoundlyByboservingtheextensivexeperments，t

4、henoiseoftheirisregionaremainlycomposedofeyelid，eyelashandreflectionThedifferenttodetectthesenoiseinthispaper1)Theeyelidnoisecontainstheuppereyelidandowereyelids，acombinedlineapproachwaspresentedforaccurateeyelidlocaliza

5、tionbasedonHoughTransformsthetraditionalmethodthatcombinshorizontaledgedetectionwithSobeloperatoranditerationthresholding，BinaryimagescenterforthepupiltObedividedintofourpartsandparabolicHoughtransformareusedtOfindtheupp

6、erandlowereyelid2)theeyelashesnearthelowereyelidissparsityshort，andturnOUt，veryfewprojectorsintheregionoftheiris，buttheeyelashesneartheuppereyelidintheirisusuallyprojectorspartofthelargerregionBasedonthesecharacteristics

7、，eyelashesaredetectedbytheintensitythresholdmethodandrealpartoflog—gaborwaveletintensitythresholdthresholdalgorithmsfordetectionofeyelasheswaspresentedbycalculatingtheaverageofgreyscaleintwectangleareas，whichwerenearthel