Biometrics

INTRODUCTION TO BIOMETRICS Q. THOMAZEAU 30/04/2009 CENTRAL PARK

WEAKNESSES OF ACCESS CONTROL SYSTEMS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

WHAT ARE THE MARKET NEEDS? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

PHYSICAL ACCESS CONTROL SYSTEMS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

BIOMETRICS TECHNOLOGIES ,[object Object],[object Object]

CHOOSING YOUR BIOMETRIC TECHNOLOGIES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],No technology is 100% reliable ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

TWO COMPLEMENTARY CONCEPTS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

BIOMETRICS ADDS SECURITY AND COMFORT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Some governmental organizations (CNIL in France) recommends to store biometric data on card for privacy issues

HOW BIOMETRICS WORK ? Candidate List Acquisition Scanner Store ENROLMENT VERIFICATION / IDENTIFICATION Store Encoding

ACQUISITION & FEATURE EXTRACTION ,[object Object],[object Object],Biometric Type of feature Representation Fingerprint Minutiae points Easy to locate by humans (x,y,  ) IRIS Fiber location in the IRIS image Very difficult to locate for a human (phase of the fiber) FACIAL Projections in multi-dimensional space : Purely mathematical Not detectable by human

COMPARISON OF TWO BIOMETRIC TEMPLATES ,[object Object],[object Object],[object Object],[object Object],[object Object],Biometric template 1 Biometric template 2 Matcher Matching Score ,[object Object],Probability of Match Biometric template

COMPARISON OF TWO BIOMETRIC TEMPLATES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

PERFORMANCE OF BIOMETRIC TECHNOLOGIES ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

TEST METHODOLOGY False Reject False Acceptance

PERFORMANCE: A MATTER OF TRADE OFF Requirements Error rate % False Acceptance Rate (FAR) False Reject Rate (FRR) Types of authentication errors Comfort Security

TYPICAL ROC CURVE % % False Reject 0,1 0,01 0,001 False Acceptance 0,0001 1 2 ROC curve: Receiving Operating Curve

PERFORMANCE EXTRAPOLATION ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

TEST METHODOLOGY SAGEM has collected large databases ... … and is able to evaluate accuratly its fingerprint solutions

WHAT DOES BIOMETRICS BRING TO EXISTING TECHNIQUES ?

AND THREE POSSIBLE APPROACHES To have 1 2 3 4 5 6 7 8 9 * 0 # To know To be

Biometrics

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Biometrics