THE 3 rd INTERNATIONAL SCIENTIFIC CONFERENCES OF STUDENTS AND YOUNG RESEARCHERS dedicated to the 99
th
anniversary of the National Leader of Azerbaijan Heydar Aliyev
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FACE EMOTION RECOGNITION Aytan Sadirova, Gulustan Abdullayeva Baku Higher Oil School Baku, Azerbaijan ayten.sadirova.std@bhos.edu.az, gulustan.abdullayeva.std@bhos.edu.az Supervisor: PhD, Associate Professor Leyla Muradkhanli Keywords: Emotion recognition, Human reaction, Feature extraction, Classification
Introduction Recently, face has gained significant importance in identifying the state
and expression of a human. The Human facial features which can be analyzed
as a complex dynamic structure with the properties that can significantly
changes with the time. This can be considered as to be the major focus of
prominence in social life and takes up an important role in the identifying
individuals. Hence, Facial expression reorganization is an integral part of
biometrics and can be used in major areas such as Criminal Identification, in
the Security of Systems and Verification of credit cards and Utilization of face
acknowledgment for validation additionally decreases the need of recalling
passwords and can give a substantially more noteworthy security if confront
acknowledgment is utilized as a part other safety efforts to for access control.
Face expression recognition system FER system includes the major stages such as face image
preprocessing, feature extraction and classification.
Preprocessing is a process which can be used to improve the
performance of the FER system. Image preprocessing includes different
types of processes such as image clarity and scaling, contrast adjustment,
and additional enhancement processes to improve the expression frames.
The cropping and scaling processes were performed on the face image in
which the nose of the face is taken as midpoint and the other important facial
components are included physically.
Feature extraction is finding and depicting of positive features of concern
within an image for further processing. In image processing computer vision
feature extraction is a significant stage, whereas it spots the move from
graphic to implicit data depiction. Then this data depiction can be used as an
input to the classification.
Classification is the final stage of FER system in which the classifier
categorizes the expression such as smile, sad, surprise, anger, fear, disgust
and neutral.
