Identification or Verification? - files.ctctcdn.comfiles.ctctcdn.com/99c2e317001/284c3942-340d-41c8-b44c-fd08bcf6ca… · Palm-Vein Mid Vein patterns in the palm 2” 0.01% 0.00008%

Advanced Identification Technology

Identification or Verification?


Basic Biometric Functions

• Verification– Authenticating claimed

identity, by comparing a presented image to a single, selected template.

• Identification– Determining the identity of

a person by comparing a presented image to every enrolled template.

one to one one to many


All Biometrics follow a common Process Sequence

Biometric Presentation

Capture Process

Feature Extraction

Template Creation

Template Storage


Cost Major Characteristics TypicalDistance

TypicalFalse Reject

Typical False

Accept

Template Size

(Bytes)Application Typical

Vendors

Iris Mid => High Spread of Iris Pattern 10”-14” 0.01% 0.0000008% 512 High Security Iris ID, Aoptix,

L1, SRI

Fingerprint Mid Shape, position, and size Contact Required 1.0% 0.1% 1000 General

Security

Suprema, Aware,

Morpho, AFIS

Hand Readers

Mid => High

Size, length, width, thickness, and surface ratio

Contact required 0.15% 0.1% 9 Low Security

Cross Match, Cogent,

Ingersol Rand

Finger-Vein Mid Vein patterns in the finger Minimal contact 0.01% 0.0001% 512 General Security

M2SYS, Hitachi

Palm-Vein Mid Vein patterns in the palm 2” 0.01% 0.00008% 0.8 General Security

iDlink, PalmSure,

M2SYS

Voice Recognition Mid Sound of Voice 1” 3% 3% 1000 Telephone

serviceAgnito,

Smartmatic

Facial Recognition Mid

Position, size and/or shape of the eyes, nose, cheekbones, and jaw

10”- 60” 2% 0.1% 60,000 Low Security Cross Match, L-1, Cognitec

Generic Comparison of Biometric Technologies


Iris Works Where Other Biometrics Don’t

• Iris on Smart Cards—an ideal choice for less than optimal fingerprint environments.

• Rough work• Dirty work• A natural choice for Identification Credential• Pristine prints difficult to acquire in environments where manual labor is

prevalent.• None of these very common conditions poses a problem for IrisAccess™

FingerprintHand Geometry Finger vein Face Recognition Fingerprint


The Biology Behind a Technology

Sclera

Iris

Retina

Choroid

Lens

OpticNerve

AqueousHumor

Cornea

Ciliary Muscle

Iris

Retina

• The donut shape of the eye except the black part(pupil) is the iris.• Iris recognition technology is different from the retina scan. It is same as

taking pictures using normal digital camera - no worry about eye safety.


Most Accurate

Flakes falling on

Earth in one year =

10 23

Est. probability of

two like irides =

10 78

• Statistical probability of iris achieving a false accept is 1 in 1.2 million.• Examines more than 240 of the 400 measurable variables (degrees of

freedom) in the human eye.• Uniqueness = Accuracy

• The probability of two individuals having the same iris pattern is 1 in 1078

• Twins have same DNA but different iris patterns• Right and left eye are totally different• Stable for life after age 1


Anatomy of the Iris

Pupilary Area

Ciliary Area

Pigment Frill

Collarettes

Crypts

Radial furrowsPupil


Key Differentiator

Iris Recognition surpasses all other biometric technologies because

Iris Recognition identifies


How doesIris Recognition work?

4 easy steps...


Step 1.

Video image of iris is acquiredLimbus and pupillary boundaries,

and center zones of analysis are established

Pupil dilation or contraction is accounted for

Eye lashes and reflected light (specularities) in the iris area are ignored

Image is adjusted for tilt


Step 2.

Iris features are digitized into a 512-byte IrisCode®

(256 for features, 256 for control)


Step 3.

During Recognition, this IrisCode® record is compared to all IrisCode® records in the database


Step 4.

The software makes the decision:Accepted or Rejected?


Variance Analysis

Hamming Distance (HD) = The Hamming distance refers to the amount of variance between the IrisCode generated from the presented iris, and an IrisCode from the database.

00

11

0101

(2048 bits)

IrisCode generated fromthe presented iris IrisCodes in Database

1001

HD = n / 2048

Result

(2048 bits)


How It WorksStatistical decision based on HD:

Impostor or Authentic

In general, ifgreater than 68% bits match = authenticless than 68% bits match = impostor(greater than 68% = HD < 0.32)(less than 68% = HD > 0.32)


Accept / Reject Analysis

AUTHENTICS IMPOSTORS(accept) (reject)

Hamming Distance (HD)

The result of comparing over 234,00 Iriscode records

.4999.34.08

Qty of Sam

ples


NPL UK Test Results


Gaining Acceptance Worldwide 1 of 2 (commercial market)

Asset ProtectionData Center Security

Asset ProtectionData Center Security

Lab Security &Bio Hazard

Containment

Lab Security &Bio Hazard

Containment

InfrastructureProtection

InfrastructureProtection

WorkforceManagement

WorkforceManagement

Hotels ClubsPOS & RetailsHotels Clubs

POS & Retails

This is a partial list, for representation only


VietnamMulti-stage Governmen

t ID

Kingdom of Jordan

Kingdom of

Saudi Arabia

State of Qatar

Sultanate of

Oman

IndiaGovernment of Andhra Pradesh

Gaining Acceptance Worldwide 2 of 2 (government market)

TransportationSecurity

TransportationSecurity

Government &Public Safety

Government &Public Safety

CivilIdentity

CivilIdentity

This is a partial list, for representation only


Entry Access Control System – World Trade Center

New York World Trade Center Construction Site Access Control New York World Trade Center Construction Site Access Control

• All construction teams are currently enrolled with Iris ID technology

• IrisAccess deployed since 2009• Total Number Employees 4000• Integrated with DESFire cards and Lenel Access Control• IrisAccess secures access to the perimeter of WTC


Data Center Security

Apple Data CenterApple Data CenterCobalt Data CenterCobalt Data Center

iO Data CenteriO Data Center Google Data CenterGoogle Data Center


Entry Access Control System – CERN

European Organization for Nuclear Research (CERN) Access ControlEuropean Organization for Nuclear Research (CERN) Access Control

• CERN - European Organization for Nuclear Research • Enterprise Access Control Application• Protecting 10,000 plus researchers from multiple

countries• Deployed on 40 access shafts protecting particle

accelerators and detectors• IrisAccess deployed since 2007


Transportation Security – CATSA

Canada: 29 Airport DeploymentCanada: 29 Airport Deployment

• 29 airports in Canada deployed• 180,000 - 200,000 employees participated• Employees carry their iris template on a secure smart

card• Integration with existing airport security systems (16

locations)


Recent Introductory Statement From Research&Markets.org

Relatively young in the biometric identification market with commercial availability only since 1995, iris biometrics, thanksto its swift results, low failure to error rates and high accuracy levels, is however fast proving to be a preferred choice of biometric identification in a range of applications.


iCAM7000 Series Multifactor Biometric Reader

• Easy Installation• Accurate, Secure, Fast, Easy to

Use• Integrated Contactless Smart

Card Reader• Fully Automatic Dual Iris

Capture• Time and Attendance Ready• Highly Scalable Solution• ISO 19794-6 (iris) & ISO

19794-5 (face) compliant


Single Motion – Auto Capture

• Dual Iris Enrollment & Recognition

• OLED Touch Screen• Face capture • ISO Standard Compliant

TD100 Iris and Face Camera


• Iris + Face + Finger• Single Motion – Auto

Capture• Dual Iris Enrollment &

Recognition• OLED Touch Screen• High Capacity on Device

Matching• ISO Standard Compliant

Lightweight (~15 oz) – WiFi - GPS –AudioVideo

USB – Smart Card Ready - SD Memory – Hot Swap Battery

iCAM H100


Thank you.

Documents

Identification or Verification? - files.ctctcdn.comfiles.ctctcdn.com/99c2e317001/284c3942-340d-41c8-b44c-fd08bcf6ca… · Palm-Vein Mid Vein patterns in the palm 2” 0.01% 0.00008%