biometric by mohan sundar

8/3/2019 Biometric by Mohan Sundar

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BIOMETRICSBIOMETRICSByBy

MohanaMohana SundarSundar JJ


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BIOMETRICSBIOMETRICS

Forget passwords ...Forget passwords ...

Forget pin numbers ...Forget pin numbers ...

Forget all your security concerns ...Forget all your security concerns ...


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BIOMETRICSBIOMETRICS

IntroductionIntroduction

General systemGeneral system

Finger PrintFinger PrintIrisIris

Performance & ApplicationPerformance & Application

ConclusionConclusion


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WHAT IS BIOMETRICSWHAT IS BIOMETRICS??

Automated methodAutomated method

Pattern recognition systemPattern recognition system

Specific physiological or behavioralSpecific physiological or behavioral

characteristicscharacteristics


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WHY USE IT?WHY USE IT?

Traditional methods involving passwordsTraditional methods involving passwords

and PIN numbersand PIN numbers

Biometrics highest level of securityBiometrics highest level of security


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CHARACTERISTICS USEDCHARACTERISTICS USED

FingerprintsFingerprints

VoiceprintsVoiceprints Facial featuresFacial features

Writing patternsWriting patterns

Iris patternsIris patterns Hand geometryHand geometry


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BIOMETRIC SYSTEMBIOMETRIC SYSTEM

Data CollectionData Collection

TransmissionTransmission

Signal ProcessingSignal Processing Data StorageData Storage

DecisionDecision


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BIOMETRIC SYSTEMBIOMETRIC SYSTEM


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The hardware captures the salient humanThe hardware captures the salient human

characteristiccharacteristic

The software interprets the resulting data andThe software interprets the resulting data and

determines acceptability.determines acceptability.

HOW ITWORKSHOW ITWORKS


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FINGER PRINTFINGER PRINT

Oldest form of BiometricsOldest form of Biometrics

Highly ReliableHighly Reliable

Uses distinctive features of fingersUses distinctive features of fingers


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FINGERPRINTFINGERPRINT

FingerFinger--scan biometrics is based on thescan biometrics is based on the

distinctive characteristics of the humandistinctive characteristics of the human

fingerprintfingerprint

A fingerprint image is read from a captureA fingerprint image is read from a capturedevicedevice

Features are extracted from the imageFeatures are extracted from the image

A template is created for comparisonA template is created for comparison


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FINGER PRINT RECOGNITIONFINGER PRINT RECOGNITION

Global featuresGlobal features

Local featuresLocal features


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Pattern Area

Core Point

Delta

Line types

Ridge Count

Ridge Patterns

GLOBAL FEATURES


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BASIC RIDGE PATTERNS

Loop

Arch

Whorl


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LOOP, ARCH AND WHORL


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STAGES

Fingerprint Scanning

Fingerprint Matching

Identification


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FINGERPRINT SCANNING

Its the acquisition and recognition of a

persons fingerprint characteristics foridentification purposes


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IMAGE CAPTUREIMAGE CAPTURE

OpticalOptical

ThermalThermal

CapacitanceCapacitanceUltra SoundUltra Sound


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IMAGE ACQUISITONIMAGE ACQUISITON


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MINUTIA MATCHING


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BRIDGE CODEBRIDGE CODE


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SPUR CODESPUR CODE


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PROCESSPROCESS


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PROCESSPROCESS


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FINGERPRINT PC LOCK


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FINGERPRINT DOOR LOCK


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IRIS RECOGINITIONIRIS RECOGINITION


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IRIS RECOGNITIONIRIS RECOGNITION

Pattern recognition techniquePattern recognition technique

Identification by mathematical analysis ofIdentification by mathematical analysis ofthe random patterns.the random patterns.

Based upon the qualities of the IrisBased upon the qualities of the Iris


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Iris is a protected internal organ whoseIris is a protected internal organ whose

random texture is stable throughout liferandom texture is stable throughout life


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IRIS PROPERTIESIRIS PROPERTIES

High degree of RandomnessHigh degree of Randomness

No two Iris are alikeNo two Iris are alike

Stable in a persons lifeStable in a persons life

Doesn't vary with changesDoesn't vary with changes


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IRIS SCANIRIS SCAN

Camera at close proximityCamera at close proximity

Captures photographCaptures photograph

Uses Infra red light to illuminateUses Infra red light to illuminate

High resolution photographHigh resolution photograph


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IRIS SCAN IMAGEIRIS SCAN IMAGE


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IRIS CODEIRIS CODE

Localization of inner and outer boundariesLocalization of inner and outer boundaries

Pattern of 512 bytesPattern of 512 bytes

Complete and Compact descriptionComplete and Compact descriptionMore complete than features of DNAMore complete than features of DNA


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IRIS SYTEMIRIS SYTEM

Pre

processingFeature-

extraction

Identification

Verification

Stored

templates

Uniform

distribution

Reject

AcceptIris scan image

capture Irislocalization Iris code comparison


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IRIS RECOGNITIONIRIS RECOGNITION

Database of millions of recordsDatabase of millions of records

Iris code generated is comparedIris code generated is compared

Searching algorithm based on PropertiesSearching algorithm based on Properties

of Irisof Iris

Order of a few secondsOrder of a few seconds


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AVIATIONAVIATION IRIS DEVICESIRIS DEVICES


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BIOMETRIC PERFORMANCEBIOMETRIC PERFORMANCE

FARFAR

The FAR is the chance that someoneThe FAR is the chance that someone

other than you is granted access toother than you is granted access toyour account.your account.

Low false acceptance rate is mostLow false acceptance rate is mostimportant when security is the priorityimportant when security is the priority


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BIOMETRIC PERFORMANCEBIOMETRIC PERFORMANCE

FRRFRR

The FRR is the probability that are notThe FRR is the probability that are notauthenticated to access your account.authenticated to access your account.

A low FRR is required when convenienceA low FRR is required when convenienceis the important factoris the important factor


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FINGERPRINT PERFORMANCEFINGERPRINT PERFORMANCE

FARFAR -- As low as 1 in 1,000,00As low as 1 in 1,000,00

FRRFRR around 4%around 4%


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IRIS PERFORMANCEIRIS PERFORMANCE

FARFAR -- As low as 1 in 1,000,000As low as 1 in 1,000,000

FRRFRR around 2%around 2%


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APPLICATIONSAPPLICATIONS

Criminal identificationCriminal identification

Prison securityPrison security

ATMATMAviation securityAviation security

Border crossing controlsBorder crossing controls

Database accessDatabase access


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SOME BIOMETRICS STILL INSOME BIOMETRICS STILL IN

DEVELOPMENTDEVELOPMENT

ScentScent

Ear ShapeEar Shape

Finger nail bedFinger nail bed

Facial 3DFacial 3D


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REFERENCESREFERENCES

www.biometix.comwww.biometix.com

www.biomet.orgwww.biomet.org

www.owlinvestigation.comwww.owlinvestigation.com

www.ddl.ision.co.ukwww.ddl.ision.co.uk

www.zdnetindia.com/techzone/resourceswww.zdnetindia.com/techzone/resources

www.biodata.com.auwww.biodata.com.au


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biometric by mohan sundar

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