-
8/7/2019 Face Recognition Technology(final)
1/18
N.NAGOORVALI (07U51A0465)
By
-
8/7/2019 Face Recognition Technology(final)
2/18
Complex and largely software basedtechnique
Analyze unique shape, pattern&positioning of facial
features
It compare scans to records stored incentral or local database
or even on asmart card
-
8/7/2019 Face Recognition Technology(final)
3/18
It is a unique measurable characteristics of a
human being
Used to automatically recognize an individuals
identityTwo types 1.physiological &
2. behavioral characteristics
A biometric system refers to integrated
hardware and software used to conduct
biometric identification
-
8/7/2019 Face Recognition Technology(final)
4/18
It requires no physical interaction on behalf of user
It is accurate and allows for high enrolment and
verification
Not require an expert to interpret the comparison
result
Can use your existing infrastructure Passive identification
-
8/7/2019 Face Recognition Technology(final)
5/18
` Two types of comparison in face recognition
1.Verification- The system compare the given
individual with who that individual says they are.
2.Identification-The system compares a given
individual to all the other individuals in the database
and gives a ranked list of matches.
-
8/7/2019 Face Recognition Technology(final)
6/18
Capture Extraction Comparison
Match/Non
match
Accept/Project
STAGES OF IDENTIFICATION
-
8/7/2019 Face Recognition Technology(final)
7/18
` Capture-Capture the behavioral sample
` Extraction-unique data is extracted from the
sample and a template is created.
` Comparison-the template is compared with a new
sample.
` Match/non match-the system decides whether the
new samples are matched or not.
-
8/7/2019 Face Recognition Technology(final)
8/18
-
8/7/2019 Face Recognition Technology(final)
9/18
` Enrollment module-An automated mechanism that
scans and captures a digital or analog image of a
living personal characteristics
` Database-Another entitywhich handles compression
,processing ,data storage and compression of the
captured data with stored data
` Identification module-The third interfaces with the
application system
-
8/7/2019 Face Recognition Technology(final)
10/18
FaceSystem
Data base
Preprocessing&
segmentation
Analysis AnalysisData
Preprocessing&
SegmentationAnalysis
Facerag&
scoring
Enrollment Module
reject
Verification Module
User
Interface
-
8/7/2019 Face Recognition Technology(final)
11/18
` False Acceptance Rate [FAR]
` False Rejection Rates [FRR]
` Response time
` Threshold/decision Threshold
` Enrollment time
` Equal error rate
-
8/7/2019 Face Recognition Technology(final)
12/18
-
8/7/2019 Face Recognition Technology(final)
13/18
` Detection
` Alignment
` Normalization
` Representation
` Matching
-
8/7/2019 Face Recognition Technology(final)
14/18
-
8/7/2019 Face Recognition Technology(final)
15/18
` Convenience and social acceptability
` Easy to use
` Inexpensive biometric
DISADVANTAGE
Face recognition systems cant tell the difference between
identical twins
-
8/7/2019 Face Recognition Technology(final)
16/18
Government Use
1. Law enforcement
2.Security/counterterrorism
3.Immigration Commercial Use
1.Day care
2.Residential security
3.Voter verification4.Banking using ATM
-
8/7/2019 Face Recognition Technology(final)
17/18
Face recognition technologies have been
associated generally with very costly top secure
applications. Today the core technologies have
Evolved and the cost of equipments is going downdramatically due
to the integration.
-
8/7/2019 Face Recognition Technology(final)
18/18
