| 期刊名称： |
Pattern Recognition |
| 全部作者： |
Feng Liu, Qijun Zhao, David Zhang |
| 出版年份： |
2011 |
| 卷 号： |
44 |
| 期 号： |
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| 页 码： |
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| 查看全本： |
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Fingerprintmatchingisanimportantandessentialstepinautomatedfingerprintrecognitionsystems (AFRSs). Thenoiseanddistortionofcapturedfingerprintsandtheinaccurateofextractedfeaturesmake fingerprintmatchingaverydifficultproblem.Withtheadventofhigh-resolutionfingerprintimaging techniquesandtheincreasingdemandforhighsecurity,sweatporeshavebeenrecentlyattracting increasingattentioninautomaticfingerprintrecognition.Therefore,thispapertakesfingerprintpore matchingasanexampletoshowtherobustnessofourproposedmatchingmethodtotheerrorscaused by thefingerprintrepresentation.Thismethoddirectlymatchesporesinfingerprintsbyadoptinga coarse-to-finestrategy.Inthecoarsematchingstep,atangentdistanceandsparserepresentation- based matching method(denoted as TD-Sparse)is proposed to compare pores in the template and test fingerprint image sand establish one-to-many pore correspondences between them.Theproposed TD-Sparsemethodisrobusttonoiseanddistortionsinfingerprintimages.Inthefinematchingstep,false porecorrespondencesarefurtherexcludedbyaweightedRANdomSAmpleConsensus(WRANSAC) algorithminwhichtheweightsofporecorrespondencesaredeterminedbasedonthedis-similarity betweentheporesinthecorrespondences.Theexperimentalresultsontwodatabasesofhigh-resolution fingerprintsdemonstratethattheproposedmethodcanachievemuchhigherrecognitionaccuracy compared with other state-of-the-art pore matching methods.