Download - Finger vein technology
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An Embedded Real-Time
Finger-Vein Recognition
System
for Mobile Devices
PRESENTED BY
N.LAKSHMI SHAMILI
III B.TECH,ECE
SVEW
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BIOMETRICS
Unique measurable characteristics of a human being that can be used to automatically recognize an individual or verify an individual identity.
Used for security authentication.
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FINGER VEIN
AUTHENTICATION
TECHNOLOGY A promising biometric
pattern for personal identification in terms of its security and convenience.
Uses DSP platform.
Takes only about 0.8seconds to verify one input finger- vein sample.
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VEIN RECOGNITION
A system for Identification using a person’s uniquevein patterns.
Veins as a biometrics tool involve the measurement of the blood vesselson the back of your palm or a single finger of hand.
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OVERVIEW OF THE PROPOSED
SYSTEM
IMAGE
ACQUISITION
PROCESSING
HUMAN-MACHINE
COMMUNICATION
MODULE
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It uses four modules
NIR light source
Transparent acryl
Daylight cut-off
filters
Monochromatic
camera
IMAGE ACQUISITION
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FLOW CHART OF PROPOSED
RECOGNITION ALGORITHM
Input finger-vein images with
corresponding ID
Segmentation and Alignment
Enhancement
Feature Extraction
Feature Templates
Input finger-vein images with
corresponding ID
Segmentation and Alignment
Enhancement
Feature Extraction
Matching
Accept or reject
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IMAGE SEGMENTATION &
ALIGNMENT
Segmentation
Normalization
Alignment
Between two joints
Canny operator
Midline
Rotate
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IMAGE ENHANCEMENT:
Enhanced to
improve its
contrast.
Resized
Histogram
equalization
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FEATURE EXTRACTION & MATCHING
Lacunarity
Quantify the denseness
Spatial heterogeneity
Matching (hamming distance)
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EXPERIMENTAL RESULTS
DATA SET:
100 subjects (55% male and 45%female)
Images from the forefinger, middle
finger, and ring finger.
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PERFORMANCE EVALUATION
Two types of errors
• which claims a genuine pair as impostor
FALSE REJECTION RATE(FRR)
• which claims an impostor pair as genuine
FALSE ACCEPTANCE
RATE(FAR)
FRR FAR EER
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APPLICATION AREAS
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CONCLUSION
Highly Secure
Low power consumption
Low computational complexity
High Accuracy
Less Expensive
Small size
Quick response(0.8s)
Low EER (0.07%)
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