Persons’ Personality Traits Recognition using Machine Learning Algorithms and Image Processing Techniques

kalani sriya ilmini, TGI Fernando


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.


Artificial Neural Networks (ANN); Support Vector Machine (SVM); Multi Valued Multi Class Support Vector Machine (m-SVM); Deep learning; Personality trait

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