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Extraction of Personality Traits from Handwriting with Machine Learning

In the field of graphology, the fundamental idea is to establish a connection between the handwriting style of people and their personality traits. In this study, an analysis was made on the science of graphology using machine learning and psychology. A basic personality test was applied to the users who voluntarily participated in our study, some distinctive writing characteristics were extracted from the text samples taken from the same users, and machine learning-based prediction models were developed based on the features constructed over these font characteristics. Here, the aim is to examine how successful matching can be implemented automatically from the user's writing style with regard to personality analysis. The results show that even though not very sensitive, the personality traits can be predicted to a certain extent from the writing style by the machine learning models.