Computer Vision and Deep Learning Tools for the Automatic Processing of Wasan Documents

Yago Diez, Toya Suzuki, Marius Vila, Katsushi Waki

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 Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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