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Authors: Yago Diez 1 ; Toya Suzuki 1 ; Marius Vila 2 and Katsushi Waki 1

Affiliations: 1 Faculty of Science, Yamagata University, Japan ; 2 Department of Computer Science and Applied Mathematics, University of Girona, Spain

ISBN: 978-989-758-351-3

Keyword(s): Wasan, Document Processing, Kanji Detection, Kanji Recognition, Deep Learning.

Abstract: ”Wasan” is a type of mathematical texts unique from Japan developed during the Edo period (1603-1867). These ancient documents present a wealth of knowledge and are of great cultural and historical importance. In this paper we present a fully automatic algorithm to locate a landmark element within Wasan documents. Specifically, we use classical computer vision techniques as well as deep learning tools in order to locate one particular kanji character called the ”ima” kanji. Even though the problem is challenging due to the low image quality of manually scanned ancient documents and the complexity of handwritten kanji detection and recognition, our pipeline including noise reduction, orientation correction, candidate kanji region detection and kanji classification achieves a 93% success rate. Experiments run on a dataset with 373 images are presented.

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Paper citation in several formats:
Diez, Y.; Suzuki, T.; Vila, M. and Waki, K. (2019). Computer Vision and Deep Learning Tools for the Automatic Processing of Wasan Documents.In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-351-3, pages 757-765. DOI: 10.5220/0007555607570765

@conference{icpram19,
author={Yago Diez. and Toya Suzuki. and Marius Vila. and Katsushi Waki.},
title={Computer Vision and Deep Learning Tools for the Automatic Processing of Wasan Documents},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2019},
pages={757-765},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007555607570765},
isbn={978-989-758-351-3},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Computer Vision and Deep Learning Tools for the Automatic Processing of Wasan Documents
SN - 978-989-758-351-3
AU - Diez, Y.
AU - Suzuki, T.
AU - Vila, M.
AU - Waki, K.
PY - 2019
SP - 757
EP - 765
DO - 10.5220/0007555607570765

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