relation: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4603/
title: Object detection and text recognition in large-scale technical drawings
creator: Nguyen, Minh Trang
creator: Pham, Van Long
creator: Nguyen, Chu Chien
creator: Nguyen, Van Vinh
subject: Information Technology (IT)
description: 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 of processing large-scale image, and (2) performing character recognition on the objects if they are text patterns with improvements of 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.
date: 2021-02-10
type: Conference or Workshop Item
type: PeerReviewed
format: application/pdf
language: en
identifier: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4603/1/ICPRAM_2021_77_CR.pdf
identifier:   Nguyen, Minh Trang and Pham, Van Long and Nguyen, Chu Chien and Nguyen, Van Vinh  (2021) Object detection and text recognition in large-scale technical drawings.  In: ICPRAM 2021.     
relation: https://www.scitepress.org/PublicationsDetail.aspx?ID=K0au0RVNUe8=&t=1