Image Analysis for Historical Japanese Book Archives
Chulapong Panichkriangkrai,
Liang Li,
Ross Walker and
Kozaburo Hachimura
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Chulapong Panichkriangkrai: Graduate School of Science and Engineering, Ritsumeikan University, Kyoto, Japan
Liang Li: Ritsumeikan Global Innovation Research Organization, Ritsumeikan University, Kyoto, Japan
Ross Walker: College of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan
Kozaburo Hachimura: College of Information Science and Engineering, Ritsumeikan University, Kyoto, Japan
International Journal of Asian Business and Information Management (IJABIM), 2014, vol. 5, issue 2, 1-11
Abstract:
This paper describes methods of image analysis for historical Japanese book archives with a dominant focus on character segmentation. The segmentation methodology includes stain and smear removal, binarization, character line extraction, and character extraction by region labeling with integration and separation techniques. The experimental results show that the proposed method can segment all text lines correctly and can extract more than 79% of the characters from 16 pages of Chinsetsu Yumiharizuki, containing 176 text lines and a total of 5181 quite complicated characters.
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jabim0:v:5:y:2014:i:2:p:1-11
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