/
Biometrics: Myths and Reality Biometrics: Myths and Reality

Biometrics: Myths and Reality - PowerPoint Presentation

faustina-dinatale
faustina-dinatale . @faustina-dinatale
Follow
413 views
Uploaded On 2016-09-12

Biometrics: Myths and Reality - PPT Presentation

ბიომეტრია მითები და რეალობა Author doctoral student Maguli Bedineishvili maguli1004gmailcom Research director doctor of technical sciences ID: 464594

myths biometrics biometric reality biometrics myths reality biometric system fingerprint year georgian university technical person frr history scopes identification

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "Biometrics: Myths and Reality" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

Biometrics: Myths and Reality

ბიომეტრია: მითები და რეალობა

Author: doctoral student Maguli Bedineishvilimaguli1004@gmail.com

Research director: doctor of technical sciences, professor Levan Imnaishvililimn54@gmail.com

GEORGIAN TECHNIAL UNIVERSITYSlide2

Perception of "Biometrics"

Modern

Person identification technology, which uses human physiological features

Traditional

Static processing of biological features

Biometrics - Myths and Reality

Definition of Biometrics Slide3

Behavioral

Biometric

Characteristics

Face

Fingerprint

Hand

Iris

DNA

Keystroke

Biometrics - Myths and Reality

Physiological

Signature

VoiceSlide4

Biometric

Barriers to universality

Worn ridges;

hard or finger impairment

None

Hand impairment

Visual impairment

Speech impairment

Distinctiveness

High

Low

Medium

High

Low

Permanence

High

Medium

Medium

High

Low

Collectability

Medium

High

High

Medium

Medium

Performance

High

Low

Medium

High

Low

Acceptability

Medium

High

Medium

Low

High

Potential for circumventionLowHighMediumLowHigh

Biometrics - Myths and Reality

Estimation of Biometric FeaturesSlide5

Information of

Acuity Market IntelligenceRevenue of Biometric Industry

Biometrics - Myths and Reality

Actuality

million

.

USDSlide6

Forecast of technologies development

2012-2017

Human body - energy generator;

Biometrics in service of information security;Mind reading isn't already fiction;Mobile phone everywhere and in everything;

Computer - personal assistant.

Biometrics - Myths and Reality

ActualitySlide7

Biometrics - Myths and Reality

Segment of MarketSlide8

Finger papillary lines:

Depicted on the ancient construction by accident... Decorative, mystical elements... Person confirmation facility:

China - 300 year B. C. Japan - 702 year A.D.

Europe - XVII-XIX century USA - 1902 year A.D.Ireland

Ancient China

Biometrics - Myths and Reality

History

of BiometricsSlide9

1880 year

Henry Faulds: for person identification was offered using fingerprint

1858

year

Herschel's fingerprints, which was made within 57 years.

William

Herschel

:

used handprint for formatting agreement

Biometrics - Myths and Reality

History

of BiometricsSlide10

1882

yearAlphonse Bertillon processed the technique for measuring the parameters of prisoners' bodies (Bertillonage)

Francis Galton created the first system of classification fingerprint

Biometrics - Myths and Reality

History

of BiometricsSlide11

Biometric control of physical access

Biometric control of logical accessJustice and law enforcement scope

Accounting of working time

Medical scopeBorder control

Financial and transactional biometrics

Mobile devices

Biometric locks

Consumer biometrics

Learning institutions

Other using scopes of biometrics - convenience

Biometrics - Myths and Reality

Using ScopesSlide12

Biometrics - Myths and Reality

Using ScopesSlide13

Biometrics - Myths and Reality

Fingerprint TypesSlide14

Biometrics - Myths and Reality

Image Processing AlgorithmSlide15

Biometrics - Myths and Reality

Fingerprints characteristicsSlide16

Fingerprint

Fingerprint pattern

Fingerprint “map”

Biometrics - Myths and Reality

The Functioning Principle of Biometric SystemSlide17

Biometrics - Myths and Reality

Matcher (Threshold)

Template Database

Yes/No

Feature Extractor

Preprocessor

Preprocessor

Enrollment

Authentication

Biometric System Implementation Slide18

Biometrics - Myths and Reality

Identification Procedure

Slide19

Biometrics - Myths and Reality

Verification Procedure

Slide20

FRR – False Rejection Rate

The system makes decision to reject a person, in spite of that, he is already registered in the database. FAR

– False Acceptance RateThe system makes decision to accept a person, even if he isn't registered in the database.

Errors of Recognition Stage Slide21

Biometrics - Myths and Reality

FAR

FAR

FRR

EER

Relation of First and Second Category Errors

FRRSlide22

Biometrics - Myths and Reality

Implemented in Georgian Technical University

Teachers Biometric Registration SystemSlide23

Biometrics - Myths and Reality

Biometric Eectoral System

Implemented in Georgian Technical UniversitySlide24

Biometrics - Myths and Reality

Biometric accounting system of students attendance in lectures

Developed in Georgian Technical UniversitySlide25

Biometrics - Myths and Reality

Biometric System of Students’ Admission in Examinations

Developed in Georgian Technical UniversitySlide26

Biometrics: Myths and Reality

ბიომეტრია: მითები და რეალობა

გმადლობთ ყურადღებისთვის!

Thank You for

Your Attention!

GEORGIAN TECHNIAL UNIVERSITY