Abstract:
The facial expression recognition system has
been a significant field in human-computer
interaction. It is a considerably challenging field
to generate an intelligent computer that is able to
identify and understand human emotions for
various vital purposes. This paper focuses on
facial expression to identify five universal human
expressions: neutral, happy, anger, sad and
surprise. The proposed system uses a technique
of image processing consisting of 3 major
processes: 1) pre-processing of images, 2)
geometric feature extraction of eyes and mouth
from images, used for a calculation of Euclidean
distances between each feature; and 3) face
expression recognition using principal
component analysis method. Especially, the
movement of the mouth is investigated for
expression recognition in this paper. The
effectiveness of the proposed system can be
confirmed through the experimental results.
