face recogntion technology
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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!