Chinese calligraphy recognition system based on convolutional neural network

Wenyi Cui, Kohei Inoue

Research output: Contribution to journalArticlepeer-review


This paper presents a Chinese calligraphy recognition system which can ex- tract text from an image of Chinese calligraphy and recognize its style of calligraphy fonts. A multi-label convolutional neural network (CNN) recognition model is created and trained to recognize both textual content and font of single Chinese character at the same time. A large number of calligraphy images of single Chinese character are collected and prepossessed to form a dataset for training the model. Several images of calligraphy works of ancient Chinese calligraphers are used to evaluate the performance of the pro- posed system, and the experimental results showed the capability of the proposed system to recognize Chinese calligraphy.

Original languageEnglish
Pages (from-to)1187-1195
Number of pages9
JournalICIC Express Letters
Issue number11
Publication statusPublished - Nov 2021

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)


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