Face Recognition Technology
is the least intrusive and fastest biometric technology. It works with the most
obvious individual identifier – the human face. Facial recognition analyzes the
characteristics of a person's face images input through a digital video camera.
It measures the overall facial structure, including distances between eyes,
nose, mouth, and jaw edges. These measurements are retained in a database and
used as a comparison when a user stands before the camera. This biometric has
been widely, and perhaps wildly, touted as a fantastic system for recognizing
potential threats (whether terrorist, scam artist, or known criminal) but so
far has not seen wide acceptance in high-level usage. It is projected that
biometric facial recognition technology will soon overtake fingerprint
biometrics as the most popular form of user authentication.
Every face
has numerous, distinguishable landmarks, the different peaks and valleys that
make up facial features. Each human face has approximately 80 nodal points.
Some of these measured by the Facial Recognition Technology are:
- Distance between the eyes
- Width of the nose
- Depth of the eye sockets
- The shape of the cheekbones
- The length of the jaw line
These nodal points are measured creating a numerical code,
called a face-print, representing the face in the database.
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