基于小波变换模型的指纹方向场重建

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1、FingerprintorientationfieldreconstructionbasedonwavelettransformationmodelAbstractInrecentyears,automaticfingerprintbasedpersonalauthenticationcanbesuccessfullyappliedinamyriadofapplications.SuchasthelowcostdooropenerandSmartphonesineverydaylifeetc.However,thistechnologyapplied

2、inlarge-scaleornetworkedenvironmentalsofacesmanychallenges.Onecommongroundofallthisfingerprintbasedpersonalauthenticationsystemsisthenecessityforestimationoffingerprintridgeorientation.Theimportanceofridgeorientationcanbedeflectedfromthefactthatitisinevitablyusedfordetecting,de

3、scribingandmatchingfingerprintfeaturessuchasminutiaeandsingularpoints.Usingtheridgeorientation,notonlytheerrorratescanbeimproved,butalsomoreefficientimagecompressionandaspeedupindatabasequeriescanbeachieved.Inthisthesisweproposeanovelmethodforfingerprintridgeorientationmodeling

4、usingwavelettranslation.Ourproposedmodeldoesnotrequirepriorknowledgeofsingularpoints.andcanbefittedindifferentwaveletscales.Solvetheproblemaboutsmoothingorientationdatawhilepreservingdetailsinhighcurvatureareas,especiallyaroundsingularpoints.AnothercharacteristicofthemodelisCom

5、binestheadvantagesofparametricandnon-parametricmodelofthefingerprintorientation.Addtheregularizationtermtotheoptimizationalgorithm,formingaWaveletbasedsmoothextensionmethodontheorientationfieldreconstruction.Startingfromtheviewpointofflexibletemplatesmodels,wedevelopamethodwhic

6、hconstraintstheincompletefingerprintorientationtoreconstructonlyinwaysastheyoccurinnature.Extensiveexperimentsusingafingerprintrecognitioncompetitiondatabasesforcomparativeexperiment.Wecanreportstatisticallysignificantimprovementsintheaccuracyoffingerprintreconstructionorientat

7、ionfield.Ourmethodshowthatsingularpoints,whichresultinadiscontinuousorientationfield,canbereconstructed2万方数据betterbythewavelettranslation.Postgraduate:FuKuo(Physicalelectronics)DirectedbyProf.ChenZhong-zeKeyword:fingerprintverification;orientationfieldmode;wavelettranslation;Si

8、ngularareareconstruction3万方数据第一章绪论1.1课题研究背景及意义指纹识别技术是应