Deep Learning-Based Evaluation System for Handwritten Chinese Character Writing Standardization

In today's society, because of the increase in the frequency of people's use of electronic products, it leads to the phenomenon of irregular writing of Chinese characters and forgetting the characters when putting pen to paper, thus affecting the inheritance of the excellent traditional Chinese culture to a certain extent, so this paper proposes a handwritten Chinese character writing specification evaluation system based on deep learning. This system adopts two deep learning multi-classification models based on ViT to reason about the handwritten Chinese character images in order to obtain the calligraphic evaluation factors, and then calculate the overall evaluation of this handwritten Chinese character through the AHP mathematical evaluation model, and at the same time generate comments for the user through the individual evaluation values.