The purpose of this article is to shed light on the mechanism
and the procedures of a program that classifies an input face into
any of the six basic facial expressions, which are Anger, Disgust,
Fear, Happiness, Sadness and Surprise, in addition
to normal face.
This program works by apply PCA- principal component
analysis algorithm, which is applied of one side of the face, and
depends, on contrast to the traditional studies which rely on the
whole face, on three components: Eyebrows, Eyes and Mouth.
Those out-value are used to determine the facial feature array as
an input to the neural network, and the neural network is trained by
using the back-propagation algorithm. Note that the faces used in
this study belong to people from different ages and races.
The management of electronic documents is considered as one of
the most important problems that have been discussed in this age.
That is due to its effectiveness and significance in providing a
variety of services in different governmental departm
ents. Therefore it was necessary for many countries to rely on an electronic documents management system.
Even such systems have many advantages, but they have also some cons such as the application inability in all foundations, incapability of sharing data between the foundations except through a middleware, difficulty of following up the dealings by their owner, etc. These problems are due to the absence of a generic and uniform structure between foundations. Such structure may lead to an incorporation and collaboration between these foundations. In this paper, we have made an analytical study for some systems showing their cons, then we have proposed an algorithm for following up any dealings regardless of their type or the department which will manage it. Then we proposed a design for a dynamic database which could be expanded according to the foundation's needs.
The purpose of this article is to shed light on the mechanism
and the procedures of a neuro-fuzzy controller that classifies an
input face into any of the four facial expressions, which are
Happiness, Sadness, Anger and Fear. This program works
a
ccording to the facial characteristic points-FCP which is taken
from one side of the face, and depends, in contrast with some
traditional studies which rely on the whole face, on three
components: Eyebrows, Eyes and Mouth.
