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A Revolutionary Face Recognition Device

The revolutionary gadget, according to the engineers, work in a simple concept. Lin Huang, from the university's Department of Engineering, says that every face has special features that define people, yet faces can also be very similar. The researcher adds that this is what makes computerized face recognition for security and other applications an interesting, but difficult, task.
According
to
the
researcher,
some
thing
like
that
-
a
face
recognition
softwares
have
existed
for
years'
now,
but
the
problem
with
all
the
earlier
days
software
had
many
technical
glitches.
The
system,
according
to
them,
were
accurate,
but
needed
a
lot
of
computer
problem,
which
some
how
became
a
big
hinderance.
As compared to the earlier face recognition systems, which marked major facial features, like the eyes, nose mouth, the new system, breaking all other prototypes, will have a one-dimensional filter to the two-dimensional data from conventional analyses, such as the Gabor method (which is based on neural networks).
This allows them to reduce significantly the amount of computer power required without compromising accuracy. The team tested the performance of their new algorithm on a standard database of 400 images of 40 subjects. Images are grey scale and just 92 x 112 pixels in size.
They found that their technique was not only faster and worked with low resolution images, such as those produced by standard CCTV cameras, but it also solved the variation problems caused by different light levels and shadows, viewing direction, pose, and facial expressions.
It could even see through certain types of disguises, such as facial hair and glasses.
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