Paper
14 March 2024 Two key factors in handwriting analysis for personality prediction
Yan Xu, Yufang Tang, Ching Y. Suen
Author Affiliations +
Proceedings Volume 13074, Fifth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2023); 130740G (2024) https://doi.org/10.1117/12.3023796
Event: Fifth International Conference on Image, Video Processing and Artificial Intelligence, 2023, Shenzhen, China
Abstract
No matter what kind of machine learning applications, the two most important factors are the input data and the applied model. In this paper, we considered these two factors and dived into our research topic handwriting analysis to predict personality. We conducted several experiments to validate our hypothesis and drew some conclusions that the preprocessing operations are very necessary, especially binarization. The order of each preprocessing step may affect final results. We compared with different existing art-of-the-state methods used in the general machine learning tasks for our specific handwriting analysis field, and found the best model convNeXtTiny as our applied model with good prediction.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yan Xu, Yufang Tang, and Ching Y. Suen "Two key factors in handwriting analysis for personality prediction", Proc. SPIE 13074, Fifth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2023), 130740G (14 March 2024); https://doi.org/10.1117/12.3023796
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KEYWORDS
Education and training

Machine learning

Statistical modeling

Binary data

Factor analysis

Analytical research

Gaussian filters

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