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1 Introduction to Introduction to Biometrics Biometrics 2004.9.16

1 Introduction to Biometrics 2004.9.16 2 What is Biometrics Biometrics are automated methods of recognizing a person based on a physiological or behavioral

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1

Introduction to BiometricsIntroduction to Biometrics

2004.9.16

2

What is BiometricsWhat is Biometrics

Biometrics are automated methods

of recognizing a person based on

a physiological or behavioral

characteristics

3

BiometricBiometric includesincludes

Physiological Characteristics– Fingerprint – Palm print – Face– Iris– Voice

Behavioral Characteristics– Signature

4

FingerprintFingerprint

Strength– Proven Technology Capable of High Level of Accuracy– Range of Deployment Environments– Ergonomic, Easy-to-Use Device– Ability to Enroll Multiple Fingers

Weakness– Inability to Enroll Some Users– Performance Deterioration over Time– Association with Forensic Application– Need to Deploy Specialized Devices

5

Palm printPalm print

Strength– Ability to Operate in Challenging Environment– Established, Reliable Core Technology– General Perception as Non-intrusive– Relatively Stable Physiological Characteristic as Basis– Combination of Convenience and Deterrence

Weakness– Inherently Limited Accuracy– Form Factor That Limits Scope of Potential Applications– Price

6

FaceFace

Strength– Ability to Leverage Existing Equipment and Image Processing– Ability to Operate without Physical Contact or User

Complicity– Ability to Enroll Static Images

Weakness– Acquisition Environment Effect on Matching Accuracy– Changes in Physiological Characteristics That Reduce

Matching Accuracy– Potential for Privacy Abuse Due to Non-cooperative

Enrollment and Identification

7

IrisIris

Strength– Resistance to False Matching– Stability of Characteristic over Lifetime– Suitability for Logical and Physical Access

Weakness– Difficulty of Usage– False Non-matching and Failure-to-Enroll– User Discomfort with Eye-Based Technology– Need for a Proprietary Acquisition Device

8

VoiceVoice

Strength– Ability to Leverage Existing Telephony Infrastructure– Synergy with Speech Recognition and Verbal Account

Authentication– Resistance to Imposters– Lack of Negative Perceptions Associated with Other

Biometrics Weakness

– Effect of Acquisition Devices and Ambient Noise on Accuracy– Perception of Low Accuracy– Lack of Suitability for Today’s PC Usage

9

SignatureSignature

Strength– Resistant to Imposters– Leverages Existing Processes– Perceived as Non-invasive– Users Can Change Signatures

Weakness– Inconsistent Signatures Lead to Increased Error Rates– Users Unaccustomed to Singing on Tablets– Limited Applications

10

Biometric ProcessBiometric Process

Enrollment:Enrollment:

Verification:Verification:

PresentPresent

BiometricBiometricCaptureCapture

ProcessProcess

No MatchNo Match

MatchMatchCaptureCapture

ProcessProcess

PresentPresent

BiometricBiometric

StoreStore

CompareCompare

11

Division of Biometrics MarketDivision of Biometrics Market

12

Revenue of Biometrics MarketRevenue of Biometrics Market

Source: International Biometric Industry Association ( IBIA )

13

Biometric Market SizeBiometric Market SizeRevenue:– 2003 revenue: $719M USD– 2006 projected revenue: $2.7B USD– 2008 projected revenue: $4.8B USD

From:– Law enforcement– Public sector identification / Authentication– ID Card / E-passport / Immigration

14

Technology Growth ComparisonTechnology Growth Comparison

2003 2006

Fingerprint $198 $858

Facial Recognition $50 $417

Hand Geometry $43 $137

Middleware $48 $209

Iris Recognition $36 $190

Voice Verification $23 $114

Signature Verification $9 $54

Multi-modal $11 $106

AFIS $312 $705

Total $719 $2,684

Source: IBG’s “Biometrics Market and Industry Report 2004-2008”

x4x8

15

Business ModelBusiness Model

109

1010

1011

1012

1980 1995 2010 2025(year)

Entrance and exit managementPC Login

Information systemauthentication

Network user authentication

Authentication service business

System integration business

Equipment/library business

Market size (in yen)

(千億 )

(100億 )

(10億 )

2005

Source: Biometrics Security consortium

16

Time DivisionTime Division1990-1995: access control & PC login1995-2005: info. system authentication2005-: network user authentication

Japanese market:– 2000: 3M USD (equipment), 30M (system)– 2005: 10M USD(equipment), 100M (system)

17

Market: Access Control (Worldwide)Market: Access Control (Worldwide)

Market scale: 100M USDMarket requirement:

– Repeated use for one device– Severe demand on stability– High quality for services– Professional partner for integration

2004

18

Market: Information System AuthenticationMarket: Information System Authentication

Market scale: 800M USD (ID card, etc.)Market requirements:

– Integrator: multi-workstations, service to citizens, fingerprint database, network connection, secure info. access.

– High quality reader– Entire client-server architecture– Implementation for related standards

19

Market: Network User AuthenticationMarket: Network User Authentication

Market requirement:– M-business: cell phone, PDA, N/B– E-business: smart-card, ATM, P.O.S

20

Drive to MarketDrive to Market

– E-passport with face & fingerprint check at the immigration.– Civil administration & work permit application for fingerprint

verification/identification.– Verification for 3G cell phone with fingerprint.

Since 911 , national security becomes the major consideration. Therefore, a large quantity of biometric solution is in demands.

The growth of biometric market is expected to be over 40% annually.The market scale of 2007 is predicted to be approximate 4 billion USD.

Since 911 , national security becomes the major consideration. Therefore, a large quantity of biometric solution is in demands.

The growth of biometric market is expected to be over 40% annually.The market scale of 2007 is predicted to be approximate 4 billion USD.

21

Status of Biometric Standardization

(Updated)

22

OverviewOverviewStatus of Consortia Work in

Biometrics StandardizationStatus of Approved Projects in

INCITS M1- Biometrics Status of JTC1 SC37 – BiometricsInteroperability Requirements

23

Interoperability & Data Interchange

Enterprise Web Server

Internet

BiometricAuthentication

E-commerce or Internetbank customer

• Remote access• Transaction security

• Fraud prevention

Internet Security

Client/Server – Different OS

Biometric Standards:What is it necessary to

achieve?

24

美國美國 BiometricsBiometrics 標準化活動標準化活動

ISO

SC17ID Card

X9FInformation

Security

X9金融

ANS美國標準局

X9F8Biometrics

NCITS(ANSI認定機關 )資訊技術標準化委員會

B10ID Card

B10.8Driver License

AAMVA美國自動車連合

美國警察

NIST-ITL標情報技術研究部

NIST標準化技術研究所

美國政府 Bio/API

CBEFFThe Common Biometrics

Exchange File Format

Tele Trust

ISOxxx ANSIxxx

X9.84Interoperability of Biometrics data

on ID Card

BioAPI標準 Biometrics

API

CBEFF標準

Smart Card

CBEFF標準 Data Format完全性驗證

IBIAPrivate Com.

INTEL 及 Biometrics Intel & Biometrics

Vendor

B10.8Data Format Standard

of Driver License

25

Lead, participate and promote the acceleration of standard development efforts.

Promote the adoption of approved standards (e.g., CBEFF, BioAPI, ANSI/NIST).

Conduct related R&D (e.g., evaluation methodologies, evaluation of single-modal and multi-modal authentication architectures).

Develop advanced biometric data interchange structures (e.g., nested CBEFF structures).

Work in harmonization with efforts undertaken by other Gov. agencies (e.g., DoD, intelligence community, TSA, GSA, State).

Respond to legislative requirements (e.g., USA Patriot Act). Leverage from our involvement with the Biometric Consortium

and other forums (e.g., NIST/BC Biometric WG) support user requirements and also support industry.

NIST Approach

26

CBEFFCBEFFA Biometric Data Interchange A Biometric Data Interchange

StandardStandardto Support All Biometric to Support All Biometric

Technologies in a Common WayTechnologies in a Common Way

NISTIR 6529www.nist.gov/cbeff

• Facilitates biometric data interchange between different system components or systems.

• The development was coordinated with industry consortiums (e.g., BioAPI Consortium) and standards Technical Committees (e.g., X9.F4 Working Group).

• ANSI/ISO Fast Track candidate

Security Options (e.g., plain, or encrypted)Integrity Options (e.g., signed)Patron (e.g., BioAPI) Header Version Biometric Type (e.g., facial features)Record Data Type (e.g., processed)Record Purpose (e.g., enroll)

Record Data QualityCreation Date (of the biometric data)Creator (entity that created the biometric data object)Format Owner (CBEFF Requirement)Format Type

HeaderBiometric Specific

Memory Block Signature

Data Elements and Header Fields

Need a universally recognized registrar for Format Owner/Format Type (www.ibia.org/formats.htm)

29

NIST/Biometric ConsortiumBiometric Interoperability, Performance

and Assurance Working Group

• Task Groups/Technical Development Teams: Biometric Template Protection & Usage Task Group (Dr. Soutar, BioScrypt) Biometric Security Task Force (C. Tilton, SAFLINK) Assurance Ad-Hoc Group (M. King, Booz Allen Hamilton) CBEFF Technical Development Team (F. Podio, NIST &

J. Dunn, NSA) – augmented CBEFF under development

Testing Ad-Hoc Group (Dr. Negin, MNEMONICS)

90 organizations

www.nist.gov/bcwg

31

Standard Bio HeaderStandard Bio HeaderStandard Bio Header

Standard Bio Header

Standard Bio Header

Standard Bio Header

Standard Bio Header

Signature

Data

Data

Data

Type=Multi Bio

Type=Finger

Type=Iris

Allows for multiple data types and/or multiple data objects within the CBEFF data structure

CBEFF Nested Structure & Multi-Biometrics

Other Elements of the Revised Other Elements of the Revised CBEFFCBEFF

Data originationProduct Identifier: CBEFF needs to uniquely identify the format

and the originator of every biometric data structure.Validity Period (Valid from, Valid until)

Adopt X9.84 definition: YYYYMMDDHHMMSSZ• Challenge data and payload (specified by the Patron)• Use of biometric data in tokens for machine-readable

documents.• Name change:

ANSI/NIST-ITL-1-2000Approved 2000

Data format for finger/facial/SMT

NIST

Expected to be fully CBEFF compliantLogical Data Structure for Travel Documents

ISO/IEC SC17 & ICAO

NIST/BC WG harmonized format in 7816-11 for CBEFF compliance

ISO/IEC 7816-11 - useof biometric data in SC

ISO/IEC SC17 WG4

Updated to be consistent with BioAPIHuman Recognition Services of CDSAOpen Group

Approved (ANSI) Feb 2001ANSI X9.84X9/Financial/Banking

Released March 2001Approved February 13, 2002

BioAPI V1.1ANSI/INCITS 358

BioAPI Consortium

Being augmented by the NIST/BC Biometric WG

NISTIR 6529 - CBEFFPublished Jan 2001

NIST/BC Biometric WG

StatusStandardOrganization

Biometrics Standards & CBEFF

INCITS M1 - Biometrics

Application profilesData formats

5 approved projects (2 Application Profiles & 3 data formats)

34

CBEFF

Biometric Architecture Biometric Architecture ExampleExample

BiometricServiceProvider

BioAPI Framework

ApplicationApplication

BIR

CryptographicServiceProvider

X9.84 Biometric Security

BiometricObjectBiometric

ValidationControl

Objectives

35

INCITS 358-2002, BioAPI V1.1 INCITS 358-2002, BioAPI V1.1 SpecificationSpecification

An Open Systems Interface An Open Systems Interface StandardStandard

for Biometric Integrationfor Biometric Integration

36

BioAPI - An Open Systems Interface BioAPI - An Open Systems Interface StandardStandard

for Biometric Integrationfor Biometric IntegrationA biometric API standard defines a generic way of interfacing

to a broad range of biometric technologies.

Benefits:

• Easy substitution of biometric technologies

• Use of biometric technology across multiple applications

• Easy integration of multiple biometrics using the same interface

• Rapid application development - increased competition (tends to lower costs)

BiometricDevice

BiometricDevice

BiometricServiceProvider

BiometricServiceProvider

BiometricDevice

BiometricServiceProvider

BioAPI Interface

Application

37

Open SystemsOpen Systems

BioAPI R/T

BSP BSP

Web Browser

Windows PC

BioAPI R/T

BSP BSP

Web App

Linux Server

• BioAPI specification and Win32 reference implementation both available at: www.bioapi.org• Plans underway to port to Unix (IBG) and Linux (NIST)• Conformance test suite for Win32 and Unix/Linux • Seeking sponsors for port efforts

• Fast track candidate to ISO through INCITS & M1 – Biometrics Technical Committee

20001999 2001

Unification of Biometric API development

industry efforts

Common Biometric

Exchange File Format (CBEFF)

development starts

BioAPI Spec. v1.0 released

CBEFF published

NISTIR 6529

BioAPI Reference

implementation released

BioAPI Spec. v1.1 released

Users’ and Developers’

Seminar

A Bit of History

BioAPI Consortium

2002

CBEFF Upward revision starts

Revised CBEFF Ballot (planned)

BioAPI v1.1 approved as ANSI/INCITS 358

39

Status of Approved Projects in INCITS M1- Biometrics

• INCITS Web site: www.incits.org

• M1 – Biometrics: www.ncits.org/tc_home/m1.htm

• M1 Document Register: www.ncits.org/tc_home/m1htm/docs/m1docreg.htm

40

INCITS/M1 Biometrics• Purpose:

Established in November 2001 by the Executive Board of INCITS to accelerate the deployment of significantly better, open systems standard-based security solutions for purposes such as homeland defense and the prevention of ID theft.

Elevate consortia standards to national and international voluntary consensus standards (e.g., BioAPI, CBEFF).

Develop application profiles (e.g., airport security, border crossing), and other biometric generic standards as needed (e.g., data formats).

• Legislative accelerants such as: Public Law 107-71 - Aviation and Transportation Security Public Law 107-56 - “The USA Patriot Act” Public Law 107-173 – “Border Security Act”

41

INCITS M1 Biometrics - Status• Meetings:

January/May/August/December 2002

• Officers:F. Podio, ChairmanC. Tilton, IRC. Soutar, Vice ChairmanS. Elliot, Secretary

• M1 is the US TAG to JTC 1 SC 37• Five Approved Development Projects

• INCITS 358 BioAPI: JTC 1 SC 37 Fast Track candidate

• Revised CBEFF: INCITS/JTC 1 SC37 Fast Track candidate

42

INCITS Fast Track

INCITS/M1

Finger Minutiae FormatFor Data Interchange (01/03)

Iris Recognition Interchange Format

BioAPI V1.1ANSI/INCITS 358

Revised CBEFFNISTIR 6529-A

Application ProfileVerification & Identification

of Transportation Workers (01/03)

Application ProfilePersonal identification forBorder Crossing (01/03)

Finger Pattern-BasedInterchange Format (04/03)

Face Recognition Formatfor Data Interchange (07/03)

ISO/IEC JTC 1SC37

INCITS Fast Track(Planned)

JTC 1 Fast Track(Planned)

Five projects under development

Proposed to M1

M1 Projects and ISO SC37

Application ProfileBiometric Verification

in POS Systems

Face Image Interchange Format

Finger Image Interchange Format

43

www.biometrics.org www.nist.gov/bcwg

www.bioapi.org

www.ibia.orgwww.biometricfoundation.org

www.nist.gov/cbeff

www.itl.nist.org

M1 Biometrics Standards Incubators

44

Status of JTC 1 SC 37 - Biometrics

45

INCITS 358 (BioAPI V1.1 Spec)

Transportation Workers, Border Crossing, Point of

Sale

Fingerprint MinutiaeFinger Pattern-Based

Face LandmarksBiometric

Interchange Data

Formats

Common Biometric Exchange Framework

Format

Biometric Application Programming Interfaces

Application Profiles for ID

and Verification

CBEFF (NISTIR 6529), NISTIR 6529-A under

development

Current Scope of Work (SC 37 and INCITS M1)

Derived from Colin Soutar’s Onion view on Biometrics standardization

46

Status of JTC 1 SC 37 – Biometrics

• Call for P Members (countries) closes September 2002.

• US funding of SC 37 Secretariat NIST & M1 are pursuing funding at $150K/year $50K secured (NIST) – PO being processed. ANSI will perform Secretariat duties

• Initial SC 37 Plenary Meeting:

Meeting planned for December 11 – 13, 2002 Hosted by US (M1) in Orlando, FL.

• M1 anticipates submitting at least seven contributions.

47

Smart Cards and Biometrics Smart Cards and Biometrics Interoperability RequirementsInteroperability Requirements

Can BioAPI fully satisfy the requirements or is further work required?

Possible approach: Form an M1-Biometrics Ad-Hoc Group: Work would be coordinated with the BioAPI Consortium, INCITS B10

and other smart card experts. Review BioAPI’s capability to fully provide the required level of interoperability for

different architectures (e.g., different biometric data matching and storage locations) BioAPI extension required (e.g., another parameter in the Verify function)? Is a layer on top on BioAPI needed? Coordinate work with possible augmentation of BioAPI when it goes for ISO Fast

Track. Coordination with international efforts (e.g., SC37). Possible funding required.

48

美國美國 BiometricsBiometrics 標準化活動標準化活動

ISO

SC17ID Card

X9FInformation

Security

X9金融

ANS美國標準局

X9F8Biometrics

NCITS(ANSI認定機關 )資訊技術標準化委員會

B10ID Card

B10.8Driver License

AAMVA美國自動車連合

美國警察

NIST-ITL標情報技術研究部

NIST標準化技術研究所

美國政府 Bio/API

CBEFFThe Common Biometrics

Exchange File Format

Tele Trust

ISOxxx ANSIxxx

X9.84Interoperability of Biometrics data

on ID Card

BioAPI標準 Biometrics

API

CBEFF標準

Smart Card

CBEFF標準 Data Format完全性驗證

IBIAPrivate Com.

INTEL 及 Biometrics Intel & Biometrics

Vendor

B10.8Data Format Standard

of Driver License

49

SummarySummary Base generic standards (e.g., CBEFF, BioAPI) developed in the last

few years set the foundation for achieving system interoperability and biometric data interchange.

NIST, the BC, the IT industry and end-users are leveraging from these base generic standards to accelerate the deployment of open systems standard-based security solutions for different applications (e.g., Prevention of ID Theft, Homeland Security, Heath Care, Enterprise Networks, Multi-OS Architectures).

The end goal is the approval of formal - generic national and international standards necessary to enable interoperability and data interchange between applications and systems.