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The biometric verification systems that
are currently being used include:
fingerprint, iris, voice, retina face, hand, vein and signature. Out
of all of
these, the Iris can return the most accurate results. But since it
requires
the system or device to come very close to the individual¡¯s eyes,
it a less
desirable method of verification. In addition, such devices or systems
tend to be expensive and bulky, putting limits on its practical application.
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A typical voice recognition system is usually more affordable,
but it¡¯s not always reliable because
the human voice is subject to changes due to illness, hoarseness,
or other common throat problems.
This system is also subject to extraneous noises in the surrounding
area, static,
and communication conditions.
Since faces have different dimensions and features depending on the
angle, expression and age,
a face recognition system is not likely to be of much practical use.
The hand recognition system tends to take too much space and has a
high return rate of False
Acceptance (FAR). Therefore, this system is rarely used in highly
security zones.
There are also cost problems in its administration, as well as concerns
over access to
confidential information.
Vein recognition can guarantee top security because it is almost impossible
to duplicate
an individual¡¯s vein. But it also has limits in practical application
because its hardware structure
is extremely complex, and the entire system costs a lot of money.
The results with a signature recognition system, like the voice recognition
system,
are easily affected by various factors, and therefore it is not reliable
at all.
Fingerprint recognition has long been favored among many biometric
identification technologies
due to its uniqueness and permanence. Nowadays, fingerprint recognition
is considered
to be the best choice for most applications from network security
systems to compact devices,
due to its accuracy, speed, reliability, non-intrusive interfaces,
and cost-effectiveness,
resulting in acquiring 50% of the shares in biometric markets.
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