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Biometric technology identifies or verifies a
person based on unique
traits of that person either physiological or behavioral. Let's take a
look at the most common.
Before
any biometric system can work it needs to capture something unique
about the person. This is termed "enrollment". If the system is at a
place of work then each user in turn would enroll themselves into the
system.
Iris or Eye recognition: If we "unrolled" an image of
one of our eyes, it would pretty much read as our personal bar code.
Also chances are no one else in the world would have that same pattern.
The eye pattern is made up of Crypts, Radial Furrows, Pigment Frill,
Papillary areas, Ciliary areas and Collarettes. The pattern of these
features don't change significantly over the course of our lives and
therefore can be deemed unique forever.
The biggest problem with
Iris recognition is capturing the sample during enrollment. Users have
to affix their stance and head alignment then stare directly at the
camera. Once in place though the Iris scan can be relied upon to have
less than zero rejections.
Fingerprints: Our fingerprints are
formed during our time in the fetus and from there hardly change
throughout our lives. Our fingers grow but our fingerprint patterns
remain largely unchanged. Way back in the 1900's it was realized that
even identical twins sharing the same DNA still had slightly differing
prints. It is very safe to say that along with our eyes, our
fingerprints belong solely to us.
Although different amongst us
all there are similarities that can help form groupings for
fingerprints. Features such as whorls, arches, and loops can classify
fingerprints into these groups. In a large database, this similarity
can be used as a key into the groups and speed up comparison and
matching.
Fingerprint Biometrics are by far, the most common.
Capturing the sample during enrollment is easy and a fingerprint system
is relatively inexpensive to install.
Facial recognition: This
by far is the most complex system to build, maintain and afford. Though
we humans recognize faces very easily and quickly, how do we put that
process into a machine ?
To grasp the size of the facial
recognition complexities, imagine feeding every picture of every known
terrorist or criminal into a database. Now, most of those pictures will
probably be close ups, looking straight on, great lighting and somewhat
posed. Now imagine at an airport people are walking, wearing hats,
glasses, facial hair, changes in lighting, smiling, frowning etc. Just
locating the face is the first hurdle to cross then making a reliable
comparison to the database is the next.
Facial recognition at this point can be deemed an "early warning alarm"
but cannot be relied upon to be exact 100% of the time.
The
scope of facial recognition coupled with our ability to recognize faces
easily tends to make more doubters than believers of facial recognition
systems. From a cost standpoint these systems are expensive making them
cost prohibitive to the masses.
Biometrics are constantly
evolving and improving. The technology is sound as it is based on our
unique qualities as human beings. If you turn up to work one day and
there is a fingerprint scanner installed then embrace the technology as
opposed to resist it. Biometrics will make you more secure than other
systems designed to do the same.
Howard Lancaster is a freelance writer based in
South
Eastern Wisconsin. Over the years he has come to be an authoritative
voice on Biometrics particularly their uses, strengths and weaknesses.
His website offers Biometric security devices for cars, data and PC's
and can be found at http://www.biometric-security-guards.com
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