IREX + MBE + MINEX I + MINEX II + PIV: NIST update session

IREX+MBE+ MINEXI+MINEXII+PIV NISTupdateSession

[email protected]

https://[email protected]

ChapterI::MBE‐STILL

Large‐ScaleFaceRecogniFonTesFng

MBEOrganizaFon

MBE – STILL-FACE TRACK

 

  

   

 

 

  

  

   

   

 

  

MBE‐STILL::What’snewaboutthistest?

• Largestpublic1:Ntestever conducted • N→3million

• EnrolllifeFmehistory • Ofvisaimages(DOS/DHS)

• Ofarrestimages(FBI)

• Vendorexecutesfusion

• ProvideoperaFonalmetadatato thealgorithm • Sex|Height|Weight|Dateof

birth|DateofPicture

• Reportresourceusage: • Time,storage,memory…

• PoseconformancetesFng • QuanJfydeviaJonfromstandard.

• Explicitlysplit1:1tesFng • WithenrolledDB(Jme+aMend)

• WithoutenrolledDB(e‐Passport)

• TestiteraFvely • Providefeedbacktodevelopers

• DriveR&D,improvedperformance

• SupportapplicaFonofstaFsFcal methodsontheenrolleddatabase • “Training”

• FeaturespaceseparaJon, normalizaJon

ChapterI::IREX

TheIrisExchange(IREX)Program SupporFngIRISInteroperability

IREXI::TestedImageFormats

Parent image from camera

KIND 1

Unsegmented polar

Cropped image

KIND 3

Cropped and masked image

KIND 7

Reconstructed rectilinear

KIND 48

KIND 16

   

Compression+FormatRecommendaFons • Compression–Avoiditwhenyoucan!

• Lossycompressiondoesincrementaldamagetoimages.

• Eithernocompression,orlosslessmaybesufficient.

Lossless for 1:N Apps over networks

RecogniFonErrorUnderCompression FA

LSE

RE

JEC

T R

ATE

Less compression: Lower FRR and FAR

High compression: Higher FRR and FAR

FALSE ACCEPT RATE

  

    

  

  

  

   

   

   

   

In144pagesIREXcovers

• Effectoflossycompression • JPEGvs.JPEG2000

• Limitsoflosslesscompression

• Effectofirisradius

• Howcloselytocroptheiris? • Comparisonofspecializedformats

• Maskedvs.Polar

• Fitforpurpose

• EffectofpupildilaFon • ChangeindilaJon

• Effectofeyelidocclusion • Effectofiris‐pupildisplacement

• Accuracy • ROCs

• Fixedthreshold–effectonFMR andFNMR

• Speedaccuracytradeoffs

• Templatesize

• FalseMatchRateCalibraFon • Howtosetthethreshold

• Effectofdataset

• Algorithminteroperability • EnrollonA–IdenJfyonB

• Imagequalityassessments

• Biometriczoo

IREX–UmbrellaProgramSupporFngIris Interoperability

L1 Pier 2.4 CrossMatch Seek

Can an image acquired on the L1 PIER be matched against an image gathered on another sensor, for example the CrossMatch SEEK?

Image based Interoperability

ChapterII::MINEXI

CoreInteroperabilityofMinuFaTemplates

MinuFaMatching

Minutiae from enrollment image Minutiae from verification image

InteroperabilityofMinuFaTemplates

FalseNon‐MatchRate SupplierofVerificaFonTemplate+ atFalseMatchRate TemplateMatcher

of0.01 NEC

NEC 0.0129

Supplierof Enrollment Template

RedvaluesrefertoNATIVEperformance:Onevendorgeneratesbothtemplates andmatchesthem.



of0.01 NEC Sagem

NEC 0.0129 0.0205

Supplierof Enrollment Sagem 0.0316 0.0140 Template




of0.01 NEC Sagem Cogent

NEC 0.0129 0.0205 0.0300

Supplierof Enrollment Sagem 0.0316 0.0140 0.0207 Template

Cogent 0.0417 0.0225 0.0136


  

   

 

   

MINEX

• FIPS201regulatesPIV • BindingonagenciesunderFISMA

• SupportedbyspecialpublicaFons • SP800‐76‐1 Biometrics

• SP800‐73 PIVCardInterfaces

• MINEXisusedforcerFficaFonagainstfixed performanceinteroperabilityspecificaFon • Of58algorithmssubmiMed

• 32compliantINCITS378templategenerators

• 26compliantINCITS378templatematchers

ChapterIII::MINEXII

On‐cardcomparisonofISO/IEC19794‐2 minuFarecordsonISO/IEC7816smart

cards

MINEXII–AlgorithmsonCards

Verification Template Reference Template: sent via VERIFYsent via PUT DATA

FMR

FNMR DET

Similarity Score via GET DATA

 

   

  

   

MINEXIIObjecFves

• GivenISO/IEC7816cardsareunpoweredcrypto‐tokens withlimitedcomputaFonalresources • Canon‐cardaccuracyapproachoff‐card?

• What’stheduraJon? • TeststandardizedasISO/IEC19795‐7atfinal(FDIS)ballot.

• Asaby‐product • DefineprocedureforconversionINCITS378asaparentfor ISO/IEC19794‐2:2005compactformat: • DropminuJa→SortminuJa→DropResoluJon→QuanJzetheta

• QuanJfyaccuracyloss

• Opensourcecode

  PublicReportdue June2010

MINEXII::Nowinfourthphase

PHASEI   Jul07‐Oct,07   11algorithms   Precise‐TecSec

  Neurotechno‐IRM  SagemOrga

  Oberthur‐id3

PHASEII   Nov07‐Feb08   9algorithms

  G+D   SagemOrga

  Oberthur‐id3

PhaseIII   Nov08‐May09   7algorithms   Gemalto‐Micro‐Packs

  Gemalto‐Cogent   Gemalto‐Innovatrix

  Oberthur‐id3

PhaseIV   Feb19,2010   17algorithms

  8cardsuppliers

  8algorithm suppliers

  Non‐public   PublicReport   PublicReport May2009as NISTIR7477(Rev)

NISTInteragency Report7477

ParFcipant=TeamofCardvendor+Fingerprintmatcher vendor

ChapterII::PIV

AnupdateontheBiometricComponents ofthePersonalIdenFtyVerificaFon

SpecificaFon

PIV::DocumentaryHistory

•  FIPS201 •  LegallybindingonUSG

agencies

•  PointstoNISTSpecialPubs

•  NISTSpecialPub800‐76 •  Version‐0:January2006 •  Version‐1:February2007 •  Version‐2:Spring2010

    

  

    

IrisspecificaFonsforPIV

• SP800‐76‐2specificaFons(underconsideraFon): Cropped• Irisimage(forcard) masked image• Irisimage(forCMS)

• CameraspecificaJons KIND 7

• Performance Cropped • CaptureAPI image

• ConformancetesJng KIND 3

• Commentiswelcome • Now,and • ondraoofSP800‐76‐2

  

    

 

  

  

 

IREXTest(Supportfor1:1and1:N)

• NISTInteragencyReport7629,Sep21,2009 • PerformanceofIrisRecogni0onAlgorithmsonStandardImages

• QuanFtaFvesupportforISO19794‐6standard • Imagesizeisabout3KB(for1:1)and~30KB(for1:N) • Compression,cropping,formarngprofiles • Speed‐accuracytradespace

• TenimplementaFonsofstandardizedinteroperableirisimage format • Num.irisprovidershasexpandx10inlastfiveyears • NumcoretechnologyprovidersinirisexceedsthatforfacerecogniJon

• IrisimageinteroperabilitysuperiorminuFainteroperability • Lessdependencyontheproductthatpreparestherecord

• hpp://iris.nist.gov/irex(orgoogle“irisinteroperability”)

   

  

 

  

Match‐on‐CardinPIV::NearTerm

• Possiblenear‐termwayforward: • UseaseparateMOCapplicaJonforcardacJvaJon • UseatrimmeddownversionoftheMINEXIIMOCinterface fortheAPDUs • IthasbeenimplementedbynineorganizaJons,andusedsuccessfully • It’sopenlydocumentedinNISTInteragencyReport7485

• UseoftwofingerswouldsaJsfyFIPS140‐2requirementson falsematch

• Contactinterface

• GICScompliant

  

  

  

   

Match‐on‐CardinPIV::LongerTerm

• Longertermwayforward • FormallyincludeMOCinafutureFIPS201‐2

• ForcardacJvaJon,and • AsanauthenJcaJonmechanism

• LeverageNISTIR7485forinterface • LeverageNISTIR7452forconfidenJality

• OrimplementaJonsof7816securemessaging

• MeetFIPS140‐3(notFIPS140‐2) • ConsiderISO/IEC24787

ThankYou

[email protected] 3019754157

https://[email protected]

TheroleofInteroperableImages

The old paradigm

The new paradigm IG 100

AOPTIX

Proprietary template (iris code) typically ≤ 1KB.

Standardized Iris Image Record ISO/IEC 19794-6

2KB to 308KB

Supplier B

Supplier C

Single supplier iris recognition algorithm

Supplier A of iris recognition algorithms

 

 

  

DoD::OperaFonalContext

• QuesFontoTomDeeduringKeynoteQ+A,DODBiometrics+ ForensicsSummit,SanDiego,May12,2009: • “Hasanyprogressbeenmadeongerngthebiometricdatafrom

OCONUStoCONUS?”…“Thisislikemovingabowlingballdowna gardenhose”.[SpecialOps,Ft.Bragg]

• QuesFontobreakoutS&TPanel,May12,2009PM: • “Isanyoneworkingoncompression,reducingthedataforCOMMs”.

[MarineCorpsSys.Command]

  

  

  

  

Whycompress?

• Smallpipes,datais“big”,manytransacFons • Net‐centric

• DHS::PortsofEntry→IDENT • DoD::BaMlefield→ABIS

• Card‐centric • CredenJals(USG,PIV,FRAC,CAC)::Smartcards,

• Example: • AEGISDestroyertoCONUS.Withachannelat128 kbps,biometric=single640x480uncompressediris ~308KB→19.25seconds

 

  

  

 

 

 

  

  

 

   

 

IREXI::Highlights

• 10RecogniFonAlgorithm • Supportinteroperableimages Companies • Replacetemplate‐based

exchange• 9Commercial,1Academic • Standardsconformantproducts • Evaluateformats

ready‐to‐go • Establishlimitsofcompression

• Threeirisdatasets • QuanFtaFvesupportforthe • Approx10000persons,and standards

100000images. • ISOstandardimages

• Largestpublicindependent • BinaryrecordAND

• SemanJcproperJesofimagesevaluaFontodate • ANSI/NIST• Notatestofcamerasor

systems • NotapredicJonofoperaJonal

accuracy

 

  

   

RelevancetoHSPDs

• Existenceofstandardizedinteroperableirisimage recordssupports • CounterterrorismobjecJvesofHSPD6,11,24

• Crossagency/governmentexchange

• QuanFfiedcompressionresponseaddresses • RealoperaJonalbandwidthconstraints(e.g.HSPD‐24) • Useofcompressedirisdatainblue‐forceapplicaJons(e.g.as astandardizeddataelementonPIV/CACcardsforHSPD‐12)

IrisdatatogoonPIVCards

Following the arrangement of fingerprint minutia data on current PIV cards… Two iris in one container.

Tagged biometric container (SP 800-73)

2.65M cards issued 07/2009

CBEFF Header =88 bytes

ISO Iris Image Header ≥107 bytes

ISO Iris Image Data ~2 * 3KB

CBEFF Signature block ~ 500 bytes

ChapterIII::MBE‐STILL

1:NFacetesFngtailoredtotheFBINext GeneraFonIdenFficaFonProgram

Exploitallpriorencounters

Enroll all prior encountersunder a single ID

Identification of a new Image

The MBE-STILL API supports the idea of a MULTIFACE, each tagged with metadata.

Vendor implementation determines fusion strategy.

Transmit to NGI

or ABIS etc

   

     

    

  

 

MBE‐2DSTILL::TestDesignObjecFvesI

• Maintainvirtuesoftechnology/offlinetesFng • LevelplayingfieldforcomparaJvetesJng

• Repeatability,traceability

• AddmaturitytothetesFngcapability • Publishare‐usableAPI;Solicitpublic/suppliercommentsonAPI

• MeasureduraJonofallfuncJoncalls

• Measuretemplatesize

• TestiteraJvely::Provideresults+feedbacktovendors

• MakingatechnologytesthaveoperaFonalrealism • UseoperaJonaldata!

• ExtendpopulaJonsizetoN>106

• ExecuteaproperidenJficaJontest • Don’tmodel1:NasbeingN1:1s

• Open‐universe(useimpostors,usetrueimpostors)search

• Makesampledataavailableinadvance

  

  

  

 

 

MBE‐2DSTILL::TestDesignObjecFvesII

• TosupportfacerecogniFonaccuracyviadata • ExploitmulJplehistoricalimagesofanindividual

• AllowtheimplementaJontoexecutefusion

• ExploitoperaJonalmetadata::ProvidetoimplementaJon • Dateofcapture|Dateofbirth|Height|Weight|Sex

• AllowimplementaJontoexecutepost‐enrollment processingontheenrolleddatabase • FeaturespacenormalizaJon,forexample.

• TosupportfacerecogniFonaccuracyviastructuringtheAPI toallowalgorithms,SupportPerformance

  

  

  

  

 

  

 

   

 

  

 

  

    

1:NinFBI(andUSG)

CHARACTERISTICSOFTHEFBITASK • One‐to‐many,withN→108

• AidedbymulFplearrestrecords • i.e.mulJpleenrolledimages

• AfederatedapplicaFon • State+local+others→FBI • Heterogeneousimages

• Aidedbyfacestandards…but • Picturesdon’tconformto

standards • Picturesvarydespitemug‐shot

standards

• Aidedbymetadata • Age,locaJon,gender…

• Herenow,andontheNGIradar

TAILOREDTESTINGTOWARDIT • Runatestinproper1:Nmode

• Est:106people,107images • OperaJonalimages

• RunatestwithK≥1enrollment imagespersubject • Useeventheprofileviews • ImplementaJonexploitssamples

• InformtheSDKastothe properFesoftheimages • Subjectspecific:Ethnicity,sex • Imagespecific:Age,date

• Runfast • PublicreviewofopenAPI • “Thin”,automaJc,testreports • FIFOparJcipaJon

Standards–AnddeviaFonsfrom…

ISO Standard Expression Gaze Too close Pose Angle

 

Startek Engineering Incorporated Identix Incorporated Integrated Biometrics, Inc. Ultra-Scan Corporation Antheus Technology SAGEM Morpho Inc. Aware, Inc. Precise Biometrics Motorola XTec, Inc. US Biometrics Corporation

Aware, Inc. Secure Design KK VeridtNeurotechnologija

NEC Corporation Cross Match Technologies

MINEXI

• IniFaltestofINCITS378 performance(vs.image) andinteroperability betweenproducts

BIO-key International, Inc. SPEX Forensics SecuGen Corporation Startek Engineering Incorporated 123ID, Inc. Sonda Technologies Ltd. Aware, Inc. SONATEQ Griaule Tecnologia Ltda Precise Biometrics

Startek Engineering Incorporated NITGen Co., Ltd.

01 02 03 04 05 06 07 08 09 10 11

FRVT 2002 FRVT 2006 MBE

M I N E X Ongoing

MINEX II

CORE MINUTIA INTEROP

7816 ON-CARD MATCHING

  

  

 

  

Agenda

• IrisRecogniFon(TheIREXProgram) • Standardized,tested,mulJ‐vendorimplementedstandard irisimages→expandingmarketplace.

• IrisExchange(IREX)::RelevancetoHSPDs24,12,11,6.

• IBPCConference(NISTMarch1‐5,2010) • Performance: How to define, how to get it, how to test it, howtoprocureit,howit'snotthewholestory.

• FaceRecogniFon(MBE‐STILL) • TesJngtailoredtotheopen‐set1:NidenJficaJonproblem (e.g.criminal/KSTidenJficaJon,frauddetecJon, watchlists).

IREX + MBE + MINEX I + MINEX II + PIV: NIST update session

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