Finger vein technology

An Embedded Real-Time

Finger-Vein Recognition

System

for Mobile Devices

PRESENTED BY

N.LAKSHMI SHAMILI

III B.TECH,ECE

SVEW

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.

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.

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.

OVERVIEW OF THE PROPOSED

SYSTEM

IMAGE

ACQUISITION

PROCESSING

HUMAN-MACHINE

COMMUNICATION

MODULE

It uses four modules

NIR light source

Transparent acryl

Daylight cut-off

filters

Monochromatic

camera

IMAGE ACQUISITION

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

IMAGE SEGMENTATION &

ALIGNMENT

Segmentation

Normalization

Alignment

Between two joints

Canny operator

Midline

Rotate

IMAGE ENHANCEMENT:

Enhanced to

improve its

contrast.

Resized

Histogram

equalization

FEATURE EXTRACTION & MATCHING

Lacunarity

Quantify the denseness

Spatial heterogeneity

Matching (hamming distance)

EXPERIMENTAL RESULTS

DATA SET:

100 subjects (55% male and 45%female)

Images from the forefinger, middle

finger, and ring finger.

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

APPLICATION AREAS

CONCLUSION

Highly Secure

Low power consumption

Low computational complexity

High Accuracy

Less Expensive

Small size

Quick response(0.8s)

Low EER (0.07%)