eprintid: 4285
rev_number: 10
eprint_status: archive
userid: 382
dir: disk0/00/00/42/85
datestamp: 2020-12-17 08:27:24
lastmod: 2020-12-21 09:20:17
status_changed: 2020-12-21 09:20:17
type: conference_item
metadata_visibility: no_search
creators_name: Nguyen, Minh Trang
creators_name: Pham, Van Long
creators_name: Nguyen, Chu Chien
creators_name: Nguyen, Van Vinh
creators_id: trangnm@vnu.edu.vn
creators_id: vinhnv@vnu.edu.vn
title: Object detection and text recognition in large-scale technical drawings
ispublished: inpress
subjects: IT
divisions: fac_fit
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 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: 2021-02-04
date_type: submitted
contact_email: trangnm@vnu.edu.vn
full_text_status: public
pres_type: paper
event_title: ICPRAM 2021
event_type: conference
refereed: TRUE
citation:   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.    (In Press)  
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4285/1/ICPRAM_2021_77_CR.pdf