Document Type

Article

Publication Date

2022

Publication Source

IEEE Access

Abstract

Document image understanding is increasingly useful since the number of digital documents is increasing day-by-day and the need for automation is increasing. Object detection plays a significant role in detecting vital objects and layouts in document images and contributes to providing a clearer understanding of the documents. Nonetheless, previous research mainly focuses on English document images, and studies on Vietnamese document images are limited. In this study, we extensively benchmark state-of-the-art object detectors and analyze the performance of each method on Vietnamese document images. Moreover, we also investigate the effectiveness of four different loss functions on the experimental object detection methods. Extensive experiments on the UIT-DODV dataset are conducted to provide insightful discussions.

Inclusive pages

108046-108066

ISBN/ISSN

2169-3536

Document Version

Published Version

Comments

This open-access article is provided for download in compliance with the publisher’s policy on self-archiving. To view the version of record, use the DOI: https://doi.org/10.1109/ACCESS.2022.3211069

Publisher

IEEE-INST Electrical Electronics Engineers Inc

Volume

10

Peer Reviewed

yes

Download

Share

COinS