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Biometrics Classification
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Biometric Facial Recognition : Using facial traits to identify people
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Basics of biometric facial recognition:
Biometric Facial recognition analyzes the characteristics of an individual's face
images captured through a digital video camera. It records the overall facial
structure, including distances between eyes, nose, mouth, and jaw edges. These
measurements are stored in a database and used as a comparison when a user stands
before the camera.
Biometric facial recognition has been widely, touted as a fantastic system for
recognizing potential threats (whether terrorists, scam artists, or known criminals)
but so far it has been unproven in high-level usage. It is currently used in
verification only systems with a good deal of success.
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Biometric Facial Recognition - The Process:
User faces the camera, standing about two feet from it. The system will locate the
user's face and perform matches against the claimed identity on the facial database.
It is possible that the user may need to to move and reattempt the verification based
on his facial position. The system usually gives a decision in less than 5 seconds.
To prevent a fake face or mold from faking out the system, many systems now require
the user to smile, blink, or otherwise move in a way that is human before verifying.
Biometric Facial Recognition-The Past:
The development stage for biometric facial recognition began in the late 1980s and
commercially available systems were made available in the 1990s. While many people
first heard about biometric facial recognition after September 11th, 2001, football
fans were introduced to it at the Super Bowl several months earlier.
Use of biometric facial recognition systems:
Biometric facial recognition systems are currently gaining support as a potential tool
for averting terrorist crimes, biometrics facial recognition is already in use in many
law enforcement areas. Softwares have also been developed for computer networks and
automated bank tellers that use facial biometrics for user verification purposes.
Evaluation of biometrics facial recognition technology:
One of the strongest positive aspects of facial biometric recognition is that it is
non-intrusive. Verification or identification can be accomplished from two feet away
or more, and without requiring the user to wait for long periods of time or do
anything more than look at the camera.
That said, biometrics face recognition's non-intrusiveness is one of its disadvantages when it comes to public
opinion. Many people have expressed concern over the potential use of facial
recognition cameras placed hidden around cities that would attmept to identify
passers-by without their knowledge or consent. However, the inherent difficulties in
making a positive identification are larger than most people realize, and seem to make
this biometric a better choice for verification systems, rather than identification.
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