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Biometrics: Fingerprint Technology Calvin Shueh Professor Stamp CS265

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  • Biometrics:Fingerprint TechnologyCalvin ShuehProfessor StampCS265

  • AgendaWhy Biometrics?Fingerprint PatternsAdvanced Minutiae Based AlgorithmIdentification vs. AuthenticationSecurityApplicationsVersus other Biometric TechnologiesIndustry

  • Why Biometrics?

  • Why Biometrics?Biometrics is a security solution based on something you know, have, and are:

    KnowPassword, PINHaveKey, Smart CardAreFingerprint, Face, Iris

  • Why Biometrics?Passwords are not reliable.

    Too many Can be stolenForgottenProtect Sensitive Information

    BankingMedical

  • Why Biometrics?Has been used since 14th century in China

    Reliable and trustedWill never leave at homeFingerprints are unique

    Everyone is born with one80% of public has biometric recorded

  • Fingerprint Patterns

  • Fingerprint Patterns6 classes of patterns

  • Fingerprint PatternsMinutiae

    Crossover: two ridges cross each otherCore: centerBifurcation: ridge separatesRidge ending: end pointIsland: small ridge b/w 2 spacesDelta: space between ridgesPore: human pore

  • Fingerprint Patterns

  • Fingerprint PatternsTwo main technologies used to capture image of the fingerprint

    Optical use light refracted through a prismCapacitive-based detect voltage changes in skin between ridges and valleys

  • Advanced Minutiae Based Algorithm (AMBA)

  • Advanced Minutiae Based AlgoAdvanced Minutiae Based Algorithm

    Developed by Suprema SolutionsTwo processesFeature ExtractorMatcher

  • Advanced Minutiae Based Algorithm

  • Advanced Minutiae Based AlgoFeature Extractor

    Core of fingerprint technologyCapture and enhance imageRemove noise by using noise reduction algorithmProcesses image and determines minutiaeMost common are ridge endings and points of bifurcation30-60 minutia

  • Advanced Minutiae Based AlgoFeature Extractor

    Capture ImageEnhance RidgeExtract Minutiae

  • Advanced Minutiae Based AlgoFeature Extractor

    Most frequently used minutiae in applicationsPoints of bifurcationRidge endings

  • Advanced Minutiae Based AlgoFeature Extractor

    Minutiae Coordinate and Angle are calculatedCore is used as center of reference (0,0)

  • Advanced Minutiae Based AlgoMatcher

    Used to match fingerprintTrade-off between speed and performanceGroup minutiae and categorize by typeLarge number of certain type can result in faster searches

  • Identification vs. Authentication

    Identification Who are you?

    1 : N comparisonSlowerScan all templates in databaseAuthentication Are you John Smith?

    1 : 1 comparisonFasterScan one template

  • SecurityAccuracy

    97% will return correct results100% deny intrudersImage

    Minutiae is retrieved and template createdEncrypted dataImage is discardedCannot reconstruct the fingerprint from data

  • SecuritySeveral sensors to detect fake fingerprints

    Cannot steal from previous userLatent print residue (will be ignored)Cannot use cut off fingerTemperaturePulseHeartbeat sensorsBlood flow

  • Applications

  • Applications

  • Versus other Biometric Technologies

    1 (worst) 5 (best)

    TechnologyAccuracyConvenienceCostSizeFingerprint5544Voice1555Face2343Hand3322Iris5233

  • Versus other Biometric Technologies

  • IndustryHot marketLots of $$$

  • ConclusionWant to protect informationPasswords are not reliable; forgetFingerprints have been used for centuriesFingerprints are unique; can verifyVery accurateLots of applications being developedHot market. Lots of $$$

  • Biometrics: Fingerprint TechnologyTHE END!