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8/3/2019 1317373116-Face Recognition Technology 2011(2)
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SEMINAR BY
M.RUPALY REDDY
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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
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It is a unique measurable characteristics of a
human being.
Used to automatically recognize an individual¶s
identity Two types 1.physiological &
2. behavioral characteristics
A ³biometric system´ refers to integrated
hardware and software used to conduct
biometric identification
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` 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.
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Capture Extraction Comparison
Match/Non
match
Accept/Reject
STAGES OF IDENTIFICATION
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` Capture-Capture the biometric 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.
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` Enrollment module-An automated mechanism that
scans and captures a digital or analog image of a
living personal characteristics
` Database-Another entity which handles compression
,processing ,data storage and compression of the
captured data with stored data
` Identification module-The third interfaces with the
application system
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FaceSystem
Data base
Preprocessing&
segmentation
Analysis AnalysisData
Preprocessing&
SegmentationAnalysis
Face rag &
scoring
Enrollment Module
reject
Verification Module
User Interface
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` False Acceptance Rate [FAR]
` False Rejection Rates [FRR]
` Response time
` Threshold/decision Threshold
` Enrollment time
` Equal error rate
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` Data acquisition
` Input processing
` Face image classification
` Decision making
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` Detection
` Alignment
` Normalization
` Representation
` Matching
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` Convenience and social acceptability
` Easy to use
` Inexpensive biometric
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` Face recognition systems can¶t tell the difference
between identical twins
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Government Use
1. Law enforcement
2.Security/counterterrorism
3.Immigration Commercial Use
1.Day care
2.Residential security
3.Voter verification4.Banking using ATM
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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 down
dramatically due to the integration and the
increasing processing power. Certain applications
of face recognition technology are now cost
effective ,reliable and highly accurate. As a result
there are no technological or financial barriers for stepping from the pilot project to widespread
deployment