@ARTICLE{Woda_Marek_Authorial_2024,
 author={Woda, Marek and Oliwa, Grzegorz},
 volume={vol. 70},
 number={No 1},
 journal={International Journal of Electronics and Telecommunications},
 pages={145-152},
 howpublished={online},
 year={2024},
 publisher={Polish Academy of Sciences Committee of Electronics and Telecommunications},
 abstract={The study sought to use computer techniques to detect selected psychological traits based on the nature of the writing and to evaluate the effectiveness of the resulting software. Digital image processing and deep neural networks were used. The work is complex and multidimensional in nature, and the authors wanted to demonstrate the feasibility of such a topic using image processing techniques and neural networks and machine learning. The main studies that allowed the attribution of psychological traits were based on two models known from the literature, KAMR and DA. The evaluation algorithms that were implemented allowed the evaluation of the subjects and the assignment of psychological traits to them. The DA model turned out to be more effective than the KAMR model.},
 type={Article},
 title={Authorial approach to the detection of selected psychological traits based on handwritten texts},
 URL={http://ochroma.man.poznan.pl/Content/130703/17-4456-Woda-sk.pdf},
 doi={10.24425/ijet.2024.149524},
 keywords={prediction, handwritten texts, personality traits, machine learning, neural networks},
}