TY - JOUR
T1 - Chinese calligraphy recognition system based on convolutional neural network
AU - Cui, Wenyi
AU - Inoue, Kohei
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP21K
Publisher Copyright:
© 2021 ICIC International. All rights reserved.
PY - 2021/11
Y1 - 2021/11
N2 - 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.
AB - 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.
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U2 - 10.24507/icicel.15.11.1187
DO - 10.24507/icicel.15.11.1187
M3 - Article
AN - SCOPUS:85115310407
VL - 15
SP - 1187
EP - 1195
JO - ICIC Express Letters
JF - ICIC Express Letters
SN - 1881-803X
IS - 11
ER -