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Paper Abstract and Keywords
Presentation 2021-10-08 11:30
Analysis of Writing Style on Wood Slips of the Chinese Han period Using Deep Generative Model
Chiang Meng Yuan, Soh Yoshida, Takao Fujita, Mitsuji Muneyasu (Kansai Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we develop a method to objectively analyze the calligraphic styles of wood slips excavated in Northwestern China. In this paper, we propose a method to quantify the degree of collapse of the Chinese characters by measuring the degree of dissociation using a deep generative model. Specifically, we introduce the Anomaly detection Generative Adversarial Network (AnoGAN), which is trained by normal data and judges abnormal data based on the reconstruction error when the other data is input. First, we train the GAN using an image of a character written in Clerical-Script calligraphy as training data. Next, we calculate the anomaly value of the characters based on the difference between the Cursive-Script calligraphy characters and the generated character images, and then calculate the degree of collapse. In our experiments, we created datasets consisting of wooden slips from the Han Period and showed that the proposed method can quantify the degree of misalignment between Clerical-Script of neat font and Cursive-Script of scrawl font.
Keyword (in Japanese) (See Japanese page) 
(in English) wood slips / writing style analysis / Generative Adversarial Network / anomaly detection / / / /  
Reference Info. ITE Tech. Rep.
Paper #  
Date of Issue  
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee BCT IEICE-SIS  
Conference Date 2021-10-07 - 2021-10-08 
Place (in Japanese) (See Japanese page) 
Place (in English) online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) System Implementation Technology, Short Range Wireless Systems, Smart Multimedia Systems, Broadcasting Technology, etc. 
Paper Information
Registration To IEICE-SIS 
Conference Code 2021-10-SIS-BCT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Writing Style on Wood Slips of the Chinese Han period Using Deep Generative Model 
Sub Title (in English)  
Keyword(1) wood slips  
Keyword(2) writing style analysis  
Keyword(3) Generative Adversarial Network  
Keyword(4) anomaly detection  
1st Author's Name Chiang Meng Yuan  
1st Author's Affiliation Kansai University (Kansai Univ.)
2nd Author's Name Soh Yoshida  
2nd Author's Affiliation Kansai University (Kansai Univ.)
3rd Author's Name Takao Fujita  
3rd Author's Affiliation Kansai University (Kansai Univ.)
4th Author's Name Mitsuji Muneyasu  
4th Author's Affiliation Kansai University (Kansai Univ.)
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Speaker Author-1 
Date Time 2021-10-08 11:30:00 
Presentation Time 20 minutes 
Registration for IEICE-SIS 
Paper #  
Volume (vol) vol.45 
Number (no)  
Date of Issue  

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