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Authors: Lyu Bing 1 ; Hiroyuki Tomiyama 2 and Lin Meng 2

Affiliations: 1 Graduate School of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, Japan ; 2 College of Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga 525-8577, Japan

ISBN: 978-989-758-397-1

ISSN: 2184-4313

Keyword(s): Text Line Segmentation, Early Japanese Books Understanding, Deep Learning, Image Processing.

Abstract: Early Japanese books record a lot of information, and deciphering these pieces of ancient literature is very useful for researching history, politics, and culture. However, there are many early Japanese books that have not been deciphered. In recent years, with the rapid development of artificial intelligence technology, researchers are aiming to recognize characters in the early Japanese books through deep learning in order to decipher the information recorded in the books. However, these ancient literature are written in Kuzushi characters which is difficult to be recognized automatically for the reason for a large number of variation and joined-up style. Furthermore, the frame of article and the text line tilt increase the difficult recognition. This paper introduces a deep learning method for recognizing the characters, and proposal frame deletion and text line segmentation for helping Early Japanese Books understanding.

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Paper citation in several formats:
LYU, B.; Tomiyama, H. and Meng, L. (2020). Frame Detection and Text Line Segmentation for Early Japanese Books Understanding.In Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-397-1, ISSN 2184-4313, pages 600-606. DOI: 10.5220/0009179306000606

@conference{icpram20,
author={LYU, B. and Hiroyuki Tomiyama. and Lin Meng.},
title={Frame Detection and Text Line Segmentation for Early Japanese Books Understanding},
booktitle={Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2020},
pages={600-606},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009179306000606},
isbn={978-989-758-397-1},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Frame Detection and Text Line Segmentation for Early Japanese Books Understanding
SN - 978-989-758-397-1
AU - LYU, B.
AU - Tomiyama, H.
AU - Meng, L.
PY - 2020
SP - 600
EP - 606
DO - 10.5220/0009179306000606

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