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Techniche 5th issue (Read-Only) - College of Technology, Pantnagar

Techniche 5th issue (Read-Only) - College of Technology, Pantnagar

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Page 22<br />

Techtonic<br />

Biometric Fingerprint <strong>Read</strong>er<br />

T<br />

he CCF got up and running in no time and now it embraces<br />

a technology (not yet implemented though!)<br />

that’s known to all but how much do we know about<br />

it? Biometric computerized fingerprint scanner used in<br />

CCF and the one used in your laptop have since decades<br />

evolved from the mainstay <strong>of</strong> spy thrillers to embodiments<br />

<strong>of</strong> exotic technology <strong>of</strong> the real world. The purpose<br />

<strong>of</strong> this device is simple- “Instead <strong>of</strong>, or in addition<br />

to, a password, you need your distinctive print to gain<br />

access.”<br />

Human beings happen to have built-in easily accessible<br />

unique identity cards, at our fingertips. Fingerprints<br />

are formed due to tiny pattern <strong>of</strong> ridges and valleys<br />

formed in our fingers through a combination <strong>of</strong> genetic<br />

and environmental factors. The genetic<br />

code in the DNA along with<br />

many other factors determine the<br />

development <strong>of</strong> skin in a foetus and<br />

pattern <strong>of</strong> ridges in fingers. Consequently,<br />

fingerprints are a unique<br />

marker for a person even an identical<br />

twin.<br />

A fingerprint scanner’s job is to<br />

take place <strong>of</strong> an analyst which collects<br />

fingerprint sample and compares<br />

it to other samples in the record.<br />

A fingerprint reader system has<br />

two basic jobs— it needs to get an<br />

image <strong>of</strong> your finger, and it needs to determine whether<br />

the pattern <strong>of</strong> ridges and valleys in this image matches<br />

the pattern <strong>of</strong> ridges and valleys pre-scanned images.<br />

There are number <strong>of</strong> ways to get an image <strong>of</strong> somebody’s<br />

finger. The most common methods today are<br />

optical scanning (the one the CCF scanner uses), and<br />

capacitance scanning.<br />

The heart <strong>of</strong> an optical scanner is a charge coupled<br />

device (CCD), the same light sensor system used in camcorders<br />

and digi- cams. A CCD is simply an array <strong>of</strong> sensitive<br />

diodes called photosites, which generate an electrical<br />

signal in response to light photons. Each photosite<br />

records a pixel, a tiny dot representing the light that hit<br />

the spot. Collectively, the light and dark pixels form an<br />

image <strong>of</strong> the scanned finger. Typically, an analog -todigital<br />

converter in a scanner system processes the ana-<br />

The CCF Revolution<br />

log electrical signal to generate a digital representation<br />

<strong>of</strong> the image. The scanning process starts when you<br />

place your finger on a glass plate, and a CCD camera<br />

takes a picture. The scanner has its own light source,<br />

typically an array <strong>of</strong> light emitting diodes to illuminate<br />

the ridges <strong>of</strong> finger, with darker areas representing<br />

more reflected light (the ridges <strong>of</strong> the finger) and<br />

lighter areas representing less reflected light (the valleys<br />

between the ridges). Before comparing the print to<br />

stored data, the scanner processor makes sure that the<br />

CCD has captured a clear image. It checks the average<br />

pixel darkness, it rejects the image if it is too dark or<br />

light, and then tries to scan again.<br />

When the darkness level is adequate, the scanner<br />

system goes on to check the image<br />

definition (how sharp the fingerprint<br />

scan is). The processor looks<br />

at several straight lines moving<br />

horizontally and vertically across<br />

the image. If the fingerprint image<br />

has good definition, a line running<br />

perpendicular to the ridges will be<br />

made up <strong>of</strong> alternating sections <strong>of</strong><br />

very dark pixels and very light pixels.<br />

If the processor finds that the<br />

image is crisp and properly exposed,<br />

it proceeds to comparing<br />

the captured fingerprints with fingerprints<br />

on file.<br />

Most fingerprint scanner systems compare specific<br />

features <strong>of</strong> fingerprints called minutiae. These are<br />

points where ridge lines end or split into two<br />

(bifurcations). To get a match, the scanner system doesn’t<br />

have to find an entire pattern <strong>of</strong> minutiae both in the<br />

sample, and in the print on record. It simply has to find<br />

a sufficient number <strong>of</strong> minutiae patterns that the two<br />

prints have in common. The exact number varies according<br />

to scanner programming.<br />

So, in the future if you find yourself without your<br />

ID in the CCF, then your index finger may come to<br />

your rescue.<br />

Mayank Tilara<br />

II Year, Civil Engineering

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