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  • Gazi Mühendislik Bilimleri Dergisi
  • Volume:9 Issue:2
  • Detection of Personality Features From Handwriting By Machine Learning Methods

Detection of Personality Features From Handwriting By Machine Learning Methods

Authors : Hilal MÜSEVİTOĞLU, Ali ÖZTÜRK, Fatiha Nur BAŞÜNAL
Pages : 200-212
View : 49 | Download : 44
Publication Date : 2023-08-31
Article Type : Conference Paper
Abstract :Handwriting contains a lot of information about the person who wrote it. Handwriting is a sign of personality traits represented by neurological patterns in the brain. In other words, our brain and subconscious actually shape our character as a result of our habits. It is possible to get an idea about the mood of the individual by examining the handwriting. Joy, sadness, anger and anxiety are some of them. In this study, a dataset was created from the writings of people in different professions and age groups, and this dataset was applied to machine learning algorithms after the application of necessary image processing methods for feature extraction. The results of the personality analysis were compared with the results of the personality test provided by the expert psychologist.
Keywords : El yazısı analizi, Makine öğrenmesi, Grafoloji

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