Relationship between Personality and Handwriting of Chinese Characters Using Artificial Neural Network

This paper adopts artificial neural network to identify the relationship between personality and handwriting of Chinese characters. The handwriting feature studied here is character spacing, which is extracted by samples scanning and image processing. And the personality factors are obtained by Cattel¿s 16PF. Results of 16-8-1 neural network show that the association is significant between 16 personality factors and character spacing. And from the training and non-linear fitting of 16-1-1 network, which is trained alternately by genetic algorithm and Levenberg-Marquardt algorithm, it is found that character spacing has strong correlations with reasoning and sensitivity.