Two key factors in handwriting analysis for personality prediction

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.