3. FINGER VEIN
AUTHENTICATION
TECHNOLOGY
A promising biometric
pattern for personal
identification in terms
of its security and
convenience.
Uses
DSP platform.
Takes
only about 0.8
seconds to verify one
input finger- vein
sample.
4. VEIN RECOGNITION
A system for
Identification using
a person’s unique
vein patterns.
Veins as a
biometrics tool
involve the
measurement of
the blood vessels
on the back of
your palm or a
single finger of
hand.
5. OVERVIEW OF THE PROPOSED
SYSTEM
IMAGE
ACQUISITION
PROCESSING
HUMAN-MACHINE
COMMUNICATION
MODULE
6. IMAGE ACQUISITION
It uses four modules
NIR
light source
Transparent acryl
Daylight cut-off
filters
Monochromatic
camera
7. FLOW CHART OF PROPOSED
RECOGNITION ALGORITHM
Input finger-vein
images with
corresponding ID
Input finger-vein
images with
corresponding ID
Segmentation and
Alignment
Segmentation and
Alignment
Enhancement
Enhancement
Feature Extraction
Feature Extraction
Feature Templates
Matching
Accept or reject
11. EXPERIMENTAL RESULTS
DATA SET:
100 subjects (55% male and 45%female)
Images from the forefinger, middle
finger, and ring finger.
12. PERFORMANCE EVALUATION
Two types of errors
FALSE
REJECTION
RATE(FRR)
• which claims a
genuine pair as
impostor
FALSE
ACCEPTANCE
RATE(FAR)
• which claims an
impostor pair as
genuine
FRR
FAR
EER