Personality Analysis through Graphology using Image Processing


Authors : Dr. Deepu R; Suman K.M; S. S. Surabhi; Nischal S; Nisarga P.

Volume/Issue : Volume 7 - 2022, Issue 7 - July

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3b8z1kp

DOI : https://doi.org/10.5281/zenodo.6910789

Graphology is a method of identifying, evaluating and understanding human personality traits in person by analysing the strokes and patterns revealed by their handwriting. Handwriting shows a person’s genuine nature, including emotional outlay, fears, honesty, defences and many other traits. Graphologists, who analyse handwriting professionally, usually determine the writer from a piece of handwriting. The analyst's level of expertise affects how accurate the analysis is. Despite being effective, human assistance in handwriting analysis is expensive and error-prone. Hence, the proposed methodology focuses on developing a system that employs machine learning to predict personality traits without the need for human interaction. To make this happen, we look at handwriting features in a document to predict a writer's personality traits.After extracting all required features from the image containing the handwriting, DenseNet are trained which output personality trait of the writer. The emotions are depression, anxiety, panic, stress and no sign of psychological issues are been predicted. For the project, 4899 images of handwriting samples have been acquired.

Keywords : Graphology, Human Personality, Psychological Analysis, Image Processing, Machine Learning, Densely Connected Convolutional Network.

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