Detection of Personality Features From Handwriting By Machine Learning Methods

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

• Handwriting Analysis
• Machine Learning
• Graphology

Makine Öğrenmesi Yöntemleri ile El Yazısından Kişilik Özelliklerinin Tespiti

Abstract

El yazısı, yazan kişi hakkında birçok bilgiyi barındırır. Beyindeki nörolojik desenler tarafından temsil edilen kişilik özelliklerinin işaretidir el yazısı. Diğer bir deyişle beynimiz ve bilinçaltımız aslında alışkanlıklarımızın bir sonucu olarak karakterimizi biçimlendirmektedir. El yazısı incelenerek bireyin içinde bulunduğu ruh hali hakkında bir fikre varmak mümkündür. Sevinç, hüzün, öfke ve kaygı bunlardan bazılarıdır. Bu çalışmada farklı meslek ve yaş gruplarındaki kişilerin yazılarından bir veri seti oluşturulmuş ve bu veri seti özellik çıkarımı için gerekli görüntü işleme yöntemleri uygulandıktan sonra makine öğrenmesi algoritmalarına uygulanmıştır. Kişilik analizi sonuçları, uzman psikolog tarafından yapılan kişilik testi sonuçları ile karşılaştırıldı.

Keywords

• El yazısı analizi
• Makine öğrenmesi
• Grafoloji

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