![](bg8.png)
Figure 11: (a) (b) (c) (d) Shows the expression of the an-
gry face from the lower level to the extreme level, and
(e) Graphical representation of expression percentages and
how other expressions influence while the expression level
changes from low to high.
Capability of our proposed method is to recognize
a facial expression of a person using partial informa-
tion from the given whole face image. The proposed
method is applied to the most informative regions of
the face, i.e., forehead, eyes, nose, and lips. It is ob-
served that a combination of these regions is useful
enough to distinguish facial expressions of different
persons or the same persons in most of the cases. The
result obtained by the proposed method is comparable
with the most of the state of the art methods.
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