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BIOMETRICES

BY

APARNABHARDWAJ

0915010018

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INTRODUCTION

A biometric is aphysiological or behavioralcharacteristic of a humanbeing that can distinguish oneperson from another and thattheoretically can be used foridentification or verificationof identity.

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WHAT ARE BIOMETRIC SYSTEMS USED FOR?

Biometrics are used for identification andverification

Biometrics provides highest level ofsecurity

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APPLICATION CATEGORIES

Biometric applications available today are

categorized into 2 sectors

Psychological: Iris, Fingerprints, Hand, Retinal

and Face recognition

Behavioral: Voice, Typing pattern, Signature

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THE METRICS OF BIOMETRICS

FTE Failure To Enroll

FTA Failure To Accept

FAR False Acceptance Rates

FRR False Reject Rates

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HOW IT WORKS

The hardware captures the salient humancharacteristic

The software interprets the resulting dataand determines acceptability.

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FINGER PRINT

Oldest form ofBiometrics

Highly Reliable

Uses distinctive

features of fingers

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HAND GEOMETRY Geometry of users hands

More reliable than

fingerprinting

Balance in performanceand usability

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RETINAL SCANNING Scans retina into database

User looks straight into

retinal reader

Scan using low intensitylight

Very efficient

DISADVANTAGES User has to look directly

FTE ratio high

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IRIS SCANNER Scans unique pattern of

iris

Iris is colored and visible

from far No touch required

Overcomes retinal scanner

issues

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FACE RECOGNITION User faces camera

Neutral expressionrequired

Apt lighting and position

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ISSUES

Identification

across expression

FRR or FAR

fluctuate

Tougher usability

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BEHAVIORALVoice

Signature

Typing pattern

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VOICE RECOGNITION Speech input

Frequency

Duration

Cadence

Neutral tone

User friendly

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DISADVANTAGES

Local acoustics

Background noise

Device quality

Illnessconsuming , emotional behavior

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SIGNATURE RECOGNITION Signature measures

(dynamic) Speed

Velocity

Pressure

Captures images (static)

High user acceptance

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ISSUES

Signature variable with

Age, illness, emotions

Requires high quality hardware

High FRR as signatures are very dynamic

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TYPING PATTERNS User typing pattern

Speed

Press and Release

Rate Unique patterns are

generated

comparisons

ISSUES

Not very scalable

FRR is high

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APPLICATIONS

Criminal identification

Prison security

ATM Aviation security

Border crossing controls

Database access

Banks

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SOME BIOMETRICS STILL INDEVELOPMENT

Scent

Ear Shape

Finger nail bed

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CONCLUSION

The increased need of privacy and securityin our daily life has given birth to this newarea of science. These devices are here andare present around us everywhere in thesociety and are here to stay for a long time to

come. Indeed, it will be interesting to watchthe future impact that they will have on ourday-to-day lives ...

Who can tell ??? Only time ...

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THANK YOU!!