极市-智能硬件上图像识别线扫描掌纹和门把手

理工大学电子计算学生物特征识 博士绿米联创实习生二〇一六年十月二十七日 &

1234 &

1234 &

专业、工 &

今 在IEEETransactionsonSMC:Systems的工1线扫描掌 2门把手人手识别系DoorKnobHandRecognition &

123其 &

1234 &

线扫描掌纹识别系统1234 &

线扫描掌纹识别系统ear[10],handvein,odor,andtheDNAinformationofa palmprint,isnotonlytheoldest,butalsosuccessful. &

线扫描掌纹识别系统havebeen.systems(WCBS)capturingunconstrained &

掌纹识别系统

线扫描掌纹识别系统Flatbedscannerscapturingpressed &

掌纹识别系统

线扫描掌纹识别系统 &

掌纹识别系统

线扫描掌纹识别系统capturingstable &

线扫描掌纹识别系统1234 &

线扫描掌纹识别系统 &

线扫描掌纹识别系统SmallervolumeBetterimagequalityRobustto 理工大学&绿米联 智能硬件上的图像识失败的尝试

15 &

失败的尝试

&

失败的尝试

&

线扫描掌纹识别系统1234 &

线扫描掌纹识别系统 RollersandLight LineScanImageSnsor(CISLinearCCDLinearCCDMicroLensROIControllerController Computation | &

CIS

LightRed:λp=630nm±15nm60mAGreenλp=520nm±15nm60mABlueλp=465nm±15nm60mAIRλp=940nm±15nm60mAOutput:3 &

P=Pe,MR= SM=Rf MRSL=25.4×SM=25.4×P=25.4× MR &

FPGA

A/DDrivesignal

Power Reset

| &

| &

线扫描掌纹识别系统1234 &

whichhasalsobeenusedin[8,30,37]. &

图像和

&

线扫描掌纹识别系统equalstheFRR.resultsofflatbedscannerandWCBS(from0.26%toover4.73%[11,12,20,14,13,15,16,21,18,25]),andlieswithinthe 理工大学&绿米联 智能硬件上的图像识线扫描掌纹识别系统 &

线扫描掌纹识别系统palmprintsystems’.theperformance. 理工大学&绿米联 智能硬件上的图像识1234 &

门把手识别系统1234 &

门把手识别系统LimitationsofCurrentBiometricsandsecurityofbiometricsystems.ergonomicsasecondaryelementinsystemdevelo &

门把手识别系统 &

门把手识别系统ErgonomicBiometricsDesign(EBD)Modelstage/inalldevelostages/incollaboratingwithrecognition &

门把手识别系统1234 &

“Openthedoorjustlikeitisnotlocked”. &

AcombinationofLocalGaborBinaryPatternHistogramLearning(DPL) &

门把手识别系统1234 &

门把手识别系统Thelightpathissensitivetoenvironmentlight &

门把手识别系统andthe &

门把手成像(DKI)

门把手识别系统minimum.Thespaceisfullyutilizedbytheopticalpath.

&

门把手识别系统knobshapecasewithtwoOver95%fullWhiteLEDringA1/3inchMiniCCD &

门把手识别系统Thesystemiscomposedof“TheDoorKnob”AUSB2.0frame &

门把手识别系统样 &

门把手识别系统1234 &

(ROI),whichisawideringarea.TheopticalaxisoftheLEDlight,calibratedtothesamepoint.TheROIregionofaDKHRSimageisaafterthecalibration. &

&

字典学习来源 字典学习是用来 Fsynthesis字典：minD,A∥X−DA∥2+λFF−ˆλ∥Ωˆ∥F &

门把手识别系统DPL保证效率，不用稀疏编码（ℓ0和ℓ1-范数。DPLLearning ∥Xk−DkPkXk∥2+λ∥Pk¯k∥,s.t.∥di∥2≤

&

优化

XkkkkkAk2Pk¯k2

2di221固定DandP XkDkkkkAk2

A∗=(DTDk+τI)−1(τPkXk+DT &

优化

2固定A，更新D和P∗=argmin∑ τ∥PX−A∥2+λ∥P

∥2 k k

kkD∗=argmin∑ ∥X−DA∥2,s.t.∥d∥2≤ kk i3迭代至收敛（或一定次数 &

为什么用

易于对 不用每次做点什么都要importnumpyasnp（EQIEintegration（ usingProjectiveDictionaryPairLearning 理工大学&绿米联 智能硬件上的图像识

使用“MAT.jl”包读 的MAT数据文件。充分利 打包，并提交到“MetaData”。 &

分类方法dissimilarity(y)=∥y−

门把手识别系统1234 &

分析

门把手识别系统STFV-STD-1.0dataset[51])and3Dfingerprint(3.4%EER[52]);butitisstillnotasgoodasirisrecognition(<0.003%0.012%[42,43,44,39,37,38,45]).thenewdoorknobrecognition. &

分析

门把手识别系统aswecangetstableimageswithinthesmallspace. &

门把手识别系统 | &

1234 &

&

&

感 &

HTMLversionofLineScanPalmprintSystempaper:DoorKnobHandRecognitionsite:HTMLversionofDoorKnobHandRecognition ProjectiveDictionaryPairLearning.jl绿米联创 &

参考文献

M.Vatsa,R.Singh,andA.Noore,“UnificationofEvidence-TheoreticFusionAlgorithms:ACaseStudyinLevel-2andLevel-3FingerprintFeatures,”Systems,ManandCybernetics,PartA:SystemsandHumans,IEEETransactionson,vol.39,no.1,pp.47–56,2009.G.Medioni,J.Choi,C.-H.Kuo,andD.Fidaleo,“IdentifyingNoncooperativeSubjectsataDistanceUsingFaceImagesandInferredThree-DimensionalFaceModels,”Systems,ManandCybernetics,PartA:SystemsandHumans,IEEETransactionson,vol.39,no.1,pp.12–24,2009.N.D.Kalka,J.Zuo,N.A.S d,andB.Cukic,“EstimatingandFusingQualityFactorsforIrisBiometricImages,”Systems,ManandCybernetics,PartA:SystemsandHumans,IEEETransactionson,vol.40,no.3,pp.509–524,M.J.BurgeandK.W.Bowyer,HandbookofIrisRecognition,M.J.BurgeandK.W.Bowyer,Eds.London:SpringerLondon,2013.Y.Gong,D.Zhang,P.Shi,andJ.Yan,“HandheldSystemDesignforDual-EyeMultispectralIrisCaptureWithCamera,”Systems,Man,andCybernetics:Systems,IEEETransactionson,vol.43,no.5,pp.1154–1166,Z.Zhou,E.Y.Du,N.L.Thomas,andE.J.Delp,“ANewHumanIdentificationMethod:ScleraRecognition,”Systems,ManandCybernetics,PartA:SystemsandHumans,IEEETransactionson,vol.42,no.3,pp.571–583,S.Alkassar,W.L.Woo,S.S.Dlay,andJ.A.Chambers,“RobustScleraRecognitionSystemWithNovelScleraSegmentationandValidationTechniques,”Systems,Man,andCybernetics:Systems,IEEETransactionson,vol.PP,no.99,pp.1–13,2016. | &

参考文献

.X.Wu,D.Zhang,andK.Wang,“Palmlineextractionandmatchingfor system,”inProc.2003ACMSIGMMWorkshopBiometricsMethodsandApplications(WBMA),NewYork,USA,2003,pp.100–106. C.L.Lin,T.C.Chuang,andK.C.Fan,“Palmprintverificationusinghierarchical | &

参考文献

G.BadrinathandP.Gupta,“Anefficientmulti-algorithmicfusionsystembasedonpalmprintfor identification,”inProc.15thInt.Conf.AdvancedComputingandCommunications,Washington,DC,USA,2007,pp.Y.Zheng,G.Shi,L.Zhang,Q.Wang,andY.Zhao,“Researchonofflinepalmprintimageenhancement,”inIEEEInt.Conf.ImageProcess.(ICIP),2007,pp.V.ŠtrucandN.Pavešić,“Apalmprintverificationsystembasedonphasecongruencyfeatures,”inBiometricsandIdentityManagement,ser.LectureNotesinComputerScience,B.Schouten,N.Juul,A.Drygajlo,andM.Tistarelli,Eds.SpringerBerlinHeidelberg,2008,vol.5372,pp.110–119.W.ShuandD.Zhang,“Automated alidentificationbypalmprint,”Opt.Eng.,vol.37,no.8,pp.2359–2362,8A.Kumar,D.C.M.Wong,H.C.Shen,andA.K.Jain,“ alverificationusingpalmprintandhandgeometrybiometric,”inProc.4thInt.Conf.Audio-and -basedBiometric Authentication(AVBPA).Berlin,Heidelberg:Springer-Verlag,2003,pp.668–678.Y.Han,Z.Sun,F.Wang,andT.Tan,“Palmprintrecognitionunderunconstrainedscenes,”inProc.8thAsianComput.Vis.Berlin,Heidelberg:Springer-Verlag,2007,pp.M.K.O.Goh,T.Connie,andA.B.J.Teoh,“Touch-lesspalmprintbiometrics:NoveldesignandImageVis.Comput.,vol.26,no.12,pp.1551–1560,12S.ChaudharyandR.Nath,“Amultimodalbiometricrecognitionsystembasedonfusionofpalmprint,fingerprintandface,”inProc.2009Int.Conf.AdvancesinRecentTechnologiesinCommunicationandComputing,Washington,DC,USA,2009,pp.596–600. | &

参考文献IV

L.ZhuandS.Zhang,“Multimodalbiometricidentificationsystembasedonfingergeometry,knuckleprintandpalmprint,”PatternRecogn.Lett.,vol.31,no.12,pp.1641–1649,92010.M.K.O.Goh,T.Connie,andA.B.J.Teoh,“Designandimplementationofacontactlesspalmprintandpalmsensor,”inProc.11thInt.Conf.ControlAutomationRoboticsVision(ICARCV),2010,pp.M.AykutandM.Ekinci,“AAM-basedpalmsegmentationinunrestrictedbackgroundsandvariousposturesforpalmprintrecognition,”PatternRecognitionLetters,vol.34,no.9,pp.955–962,2013.[Online].Available: A.Genovese,V.Piuri,andF.Scotti,TouchlessPalmprintRecognitionSystems,ser.AdvancesinInformationSecurity,S.Jajodia,Ed.Cham:SpringerInternationalPublishing,2014,vol.60.W.K.KongandD.Zhang,“Palmprinttextureysisbasedonlow-resolutionimagesfor inProc.16thInt.Conf.PatternRecogn.(ICPR),vol.3.Washington,DC,USA:IEEEComputerSociety,2002,pp.W.K.Kong,D.Zhang,andW.Li,“Palmprintfeatureextractionusing2-DGaborfilters,”PatternRecogn.,vol.36,no.10,pp.2339–2347,102003.M.Wong,D.Zhang,W.K.Kong,andG.Lu,“Real-timepalmprintacquisitionsystemdesign,”IEEProc.Vis.SignalProcess.,vol.152,no.5,pp.527–534,10A.W.K.Kong,D.Zhang,andM.Kamel, ysisofbrute-forcebreak-insofapalmprintauthenticationIEEETrans.Syst.,Man,Cybern.B,Cybern.,vol.36,no.5,pp.1201–1205,10 | &

参考文献

Y.Hao,Z.Sun,T.Tan,andC.Ren,“Multispectralpalmimagefusionforaccuratecontact-freerecognition,”inImageProcessing,15thIEEEInternationalConferenceon,102008,pp.J.-G.Wang,W.-Y.Yau,A.Suwandy,andE.Sung,“ recognitionbyfusingpalmprintandpalmveinimagesbasedon“Laplacianpalm”representation,”PatternRecognition,vol.41,no.5,pp.1514–1527,52008.A.Kong,D.Zhang,andM.Kamel,“Asurveyofpalmprintrecognition,”PatternRecogn.,vol.42,no.7,1408–1418,7W.LiandD.Zhang,“Threedimensionalpalmprintrecognition,”inProc.IEEEInt.Conf.Systems,ManCybern.,2009,pp.D.Zhang,G.Lu,W.Li,L.Zhang,andN.Luo,“Palmprintrecognitionusing3-Dinformation,”IEEETrans.Man,Cybern.C,Appl.Rev.,vol.39,no.5,pp.505–519,9D.Zhang,Z.Guo,G.Lu,andW.Zuo,“Anonlinesystemofmultispectralpalmprintverification,”IEEEInstrum.Meas.,vol.59,no.2,pp.480–490,2D.Zhang,V.Kanhangad,N.Luo,andA.Kumar,“Robustpalmprintverificationusing2Dand3Dfeatures,”PatternRecogn.,vol.43,no.1,pp.358–368,12010.Z.Guo,W.Zuo,L.Zhang,andD.Zhang,“Palmprintverificationusingconsistentorientationcoding,”inProc.IEEEInt.Conf.ImageProcess.(ICIP),Piscataway,NJ,USA,2009,pp.A.W.K.KongandD.Zhang,“Competitivecodingschemeforpalmprintverification,”inProc.17thInt.PatternRecogn.(ICPR),vol.1,2004,pp. | &

参考文献VI

K.Ito,T.Aoki,H.Nakajima,K.Kobayashi,andT.Higuchi,“Apalmprintrecognitionalgorithmusingphase-imagematching,”inProc.IEEEInt.ConfImageProcess.(ICIP),2006,pp.W.Zuo,F.Yue,K.Wang,andD.Zhang,“Multiscalecompetitivecodeforefficientpalmprintrecognition,”in19thInt.Conf.PatternRecogn.(ICPR),2008,pp.Z.Guo,D.Zhang,L.Zhang,andW.Zuo,“Palmprintverificationusingbinaryorientationco-occurrencePatternRecogn.Lett.,vol.30,no.13,pp.1219–1227,10M.Laadjel,F.Kurugollu,A.Bouridane,andW.Yan,“PalmprintrecognitionbasedonsubspaceysisofGaborfilterbank,”inProc.10thPacificRimConf.Multimedia:AdvancesinMultimediaInformationProcessing(PCM).Berlin,Heidelberg:Springer-Verlag,2009,pp.719–730.W.Li,D.Zhang,G.Lu,andN.Luo,“ANovel3-DPalmprintAcquisitionSystem,”Systems,ManandCybernetics,PartA:SystemsandHumans,IEEETransactionson,vol.42,no.2,pp.