Object Detection and Text Recognition in Large-scale Technical Drawings

Trang Nguyen, Trang Nguyen, Long Van Pham, Chien Nguyen, Vinh Van Nguyen, Vinh Van Nguyen

2021

Abstract

In this digital transformation era, the demand for automatic pattern extraction from printed materials has never been higher, making it one of the most eminent problems nowadays. In this paper, we propose a new method for pattern recognition in highly complex technical drawings. Our method is a pipeline system that includes two phases: (1) detecting the objects that contain the patterns of interest with improvements to processing large-scale image, and (2) performing character recognition on the objects if they are text patterns with improvements to post-processing task. Our experiments on nearly five thousand real technical drawings show promising results and the capability to reduce manual labeling effort to a great extent.

Paper Citation

in Harvard Style

Nguyen T., Van Pham L., Nguyen C. and Van Nguyen V. (2021). Object Detection and Text Recognition in Large-scale Technical Drawings.In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-758-486-2, pages 612-619. DOI: 10.5220/0010314406120619

in Bibtex Style

@conference{icpram21,
author={Trang Nguyen and Long Van Pham and Chien Nguyen and Vinh Van Nguyen},
title={Object Detection and Text Recognition in Large-scale Technical Drawings},
booktitle={Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2021},
pages={612-619},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010314406120619},
isbn={978-989-758-486-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Object Detection and Text Recognition in Large-scale Technical Drawings
SN - 978-989-758-486-2
AU - Nguyen T.
AU - Van Pham L.
AU - Nguyen C.
AU - Van Nguyen V.
PY - 2021
SP - 612
EP - 619
DO - 10.5220/0010314406120619