Abstract:
The context of this work is the development of persons’
personality recognition system using machine learning
techniques. Identifying the personality traits from a face image
are helpful in many situations, such as identification of criminal
behavior in criminology, students’ learning attitudes in education
sector and recruiting employees.
Identifying the personality traits from a face image has rarely
been studied. In this research identifying the personality traits
from a face image includes three separate methods; ANN, SVM
and deep learning. Face area of an image is identified by a color
segmentation algorithm. Then that extracted image is input to
personality recognition process. Features of the face are
identified manually and input them to ANN and SVM. Each
personality trait is valued from 1 to 9. In the second attempt m-
SVM is used because outputs are multi-valued. ANN gave better
results than m-SVM. In the third attempt we propose a
methodology to identify personality traits using deep learning.