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Face Recognition Technologyfor User Authentication and Proactive Surveillance

PRESENTED BY:-

PUPPALA UDAY KIRAN

08KD1A1238IT IV year

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Biometrics : Face recognition

B

iometrics refers broad range of technologies based onhuman characteristics.

Physiological :

Face, fingerprint, Iris, DNA.

Behavioral:

Hand-written signature, voice.

Characteristics

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Templates

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Classification of biometric traits

BIOMETRICSBIOMETRICS

PHYSIOLOGICAL BEHAVIORAL

IRIS

FINGER PRINT

HAND

FACE

DNA

VOICE

SIGNATURE

KEY STROKE

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Three Basic Identification Methods

Password

PIN

Keys

Passport

Smart Card

Face

Fingerprint

Iris

Universal

Unique

Permanent

Collectable

Acceptance

Universal

Unique

Permanent

Collectable

Acceptance

Universal

Unique

Permanent

Collectable

Acceptance

Possession

(something I have)

Biometrics

(something I am)

Knowledge(something I know)

sanjay

750426

?

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Face Recognition : Procedure

Enrollment

Test

Verification

Feature

Extractor

Template

GeneratorMatcher

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g

Identification (1:N)

Biometric

reader

Biometric

Matcher

Identification vs. Verification

Image

Database

Verification (1:1)

Biometric

reader

Biometric

Matcher

ID

Image

Database

This person is

xyz

Match

I am xyz

Enrollment subsystem

Authentication subsystem

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TECHNOLOGY TREND

Three matching methods:Feature-based(structural)matching:

find the location of eyes, nose & mouth ,extract the

feature point . And also use distance between eyes

corner & angle between eyes corner .

Person image pointed image

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Holistic matching : eigenface Decompose face images into a small set of

characteristic feature images.

A new face is compared to these stored images.

A match is found if the new faces is close to one

of these images.Training set eigenfaces

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Neural Networks & TS-SOM

Individual units to simulate Neurons

Parallel Processing

Many inputs and single output

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TS-SOM

Tree structure self-organizing maps

Each unit of map receives identical inputs

Units complete for selection

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NEURAL NETWORK PROCESS :

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Known limitations :

Lighting and angle can affect performance

Range can affect the performance

Biometric solutions are close to 100%, but not

100%, there could still be false acceptance and

false rejection.

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FUTURE DEVELOPEMENT

Mobile authentication

( Application in mobile phone)

IR-based technology

( To achieve excellent accuracy)

3D face recognition

( Under research)

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APPLICATIONS OF FACE

RECOGNITION

Verification of credit card, personal ID,passport

Access control system

Human-computer-interaction

verifications for criminals persons

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Questions and comments

Thank you for your Attention!