Our group members

P.M.G.W.N. Bandara IT79

D.M.C.C. Disanayake IT64

W.P.R.M. Lahiru IT69

W.R. Berenger IT67

Shamika IT80

Sameera Wijekumara IT76

Automated measurement”

No human involvement.

Comparison takes place in Real-Time.

›DNA is not a Biometric

Physiological and/or behavioral characteristics

1. Behavioral:

User speaks.Signs name

2. Physiological:

FingerprintHandEyesFace

determine or authenticate identity

Verification Systems

› More accurate.

› Less expensive.

› Faster.

› More limited in function.

› Requires more effort by user.

Passwords are not reliable.

› Too many

› Can be stolen

› Forgotten

Protect Sensitive Information

› Banking

› Medical

1. Cell phones, Laptops, Work

Stations, PDA & Handheld device

set.

2. Door, Car, Garage Access

3. ATM Access, Smart card

Image Source : http://www.voice-security.com/Apps.html

1. Criminel Tracking

e.g. Fingerprints, DNA Matching

2. Car Park Surveillance

3. Frequent Customer Tracking

Biometrics Vendor

sMarket

Share

Applications

Fingerprint 90 34% Law enforcement; civil

government; enterprise

security; medical and

financial transactionsHand Geometry - 26% Time and attendance systems,

physical access

Face

Recognition

12 15% Transaction authentication;

picture ID duplication

prevention; surveillance

Voice

Authentication

32 11% Security, V-commerce

Iris

Recognition

1 9% Banking, access control

The Head

The Eye The Face The Voice

Eye-Dentify

Iri Scan

Sensar

Iridian

Visionics

Miros

INTELLiTRAK

QVoice

VoicePrint

Nuance

The Hand

The Fingerprint Hand Geometry Behavioral

Identix

BioMouse

The FingerChip

Veridicom

Advanced Biometrics

Recognition Systems

BioPassword

CyberSign

PenOp

Other Information

Bertillonage

International Biometric Group

Palmistry

Biometrics work by recording and

comparing biometric characteristics.

There are two type for biometric recognition

1. Identification

2. Verification

It mean identify and analyze the humane

unique characteristic.

It can divided in two types

1. Behavioral

2. Physiological

Fingerprint

Face Recognition

Signature

Iris Scan

Hand

Firstly collects data and information convert

to digital format.

Then process the information and keep it.

Because that need to compare with new

biometric data

After check and compare with new biometric

data with data storage.

Finally recognize whether that information

are real

E.g.- In ATM machine verify your pass word

or finger mark & If it is true then you can

withdraw money.

There are many types of bio metrics devices

Commonly using 5 types of devices

1. Iris scanner

2. Finger print scanner

3. Facial Biometrics

4. Voice Recognition

5. Other

This scanner use for identify humens iris

Private and government sectors is using

Finger print devices

Earlier days used ink and paper method

Each and every persons have different and

unique face.

Use series of images for identify persons

Some computer systems have voice

recognition method

Voice recognition is not the same as speech

recognition, it is speaker recognition

. .

FINGERPRINTS

ADVANTAGES

A long-used method that

is familiar and generally

quick perform.

Fingerprints are unique.

A set of 10 prints yields

highly accurate results.

Cheap and easy to use.

DISADVANTAGES

Some people have poor

prints because of

injury,age, disease or

occupation. Requires

physical contact with a

sensor and may have

negative connotations

because of use by

lawenforcement.

. .

ADVANTAGES.

Fast and easy to use.

Rugged and works

welloutdoors.

DISADVANTAGES.

Not suited for picking

someone out of a large

group. Sensors are large

and relatively expensive

.

ADVANTAGES.

Can use standard

microphone or telephone

handset and existing

telephone lines.

DISADVANTAGES

Background noise, illness or stress can affect voice samples. Most accurate if similar instruments capture voice samples at enrollment and verification points. Not suited for picking someone out of a large group.