paper-with-me

홈 › Papers

ICDAR 2023 Competition on Reading the Seal Title

2023-04-24 · Wenwen Yu, MingYu Liu, Mingrui Chen, Ning Lu, Yinlong Wen, Yuliang Liu, Dimosthenis Karatzas, Xiang Bai

Reading seal title text is a challenging task due to the variable shapes of seals, curved text, background noise, and overlapped text. However, this important element is commonly found in official and financial scenarios, and has not received the attention it deserves in the field of OCR technology. To promote research in this area, we organized ICDAR 2023 competition on reading the seal title (ReST), which included two tasks: seal title text detection (Task 1) and end-to-end seal title recognition (Task 2). We constructed a dataset of 10,000 real seal data, covering the most common classes of seals, and labeled all seal title texts with text polygons and text contents. The competition opened on 30th December, 2022 and closed on 20th March, 2023. The competition attracted 53 participants from academia and industry including 28 submissions for Task 1 and 25 submissions for Task 2, which demonstrated significant interest in this challenging task. In this report, we present an overview of the competition, including the organization, challenges, and results. We describe the dataset and tasks, and summarize the submissions and evaluation results. The results show that significant progress has been made in the field of seal title text reading, and we hope that this competition will inspire further research and development in this important area of OCR technology.

📄 PDF Abstract BibTeX arXiv:2304.11966

Code (0)

등록된 구현이 없습니다.

Tasks

Optical Character Recognition (OCR)Task 2Text Detection

Similar Papers 제목 키워드 기반

ICDAR 2019 Historical Document Reading Challenge on Large Structured Chinese Family Records

2019-03-08 · Rajkumar Saini, Derek Dobson, Jon Morrey, Marcus Liwicki 외

We propose a Historical Document Reading Challenge on Large Chinese Structured Family Records, in short ICDAR2019 HDRC CHINESE. The objective of the proposed competition is to recognize and analyze the layout, and finall…

ICDAR 2015 Text Reading in the Wild Competition

2015-06-10 · Xinyu Zhou, Shuchang Zhou, Cong Yao, Zhimin Cao 외

Recently, text detection and recognition in natural scenes are becoming increasing popular in the computer vision community as well as the document analysis community. However, majority of the existing ideas, algorithms …

Text Detection

Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4

2015-11-30 · Cong Yao, Jia-Nan Wu, Xinyu Zhou, Chi Zhang 외

Different from focused texts present in natural images, which are captured with user's intention and intervention, incidental texts usually exhibit much more diversity, variability and complexity, thus posing significant…

DiversityScene Text DetectionText Detection

The Robust Reading Competition Annotation and Evaluation Platform

2017-10-18 · Dimosthenis Karatzas, Lluis Gómez, Anguelos Nicolaou, Marçal Rusiñol

The ICDAR Robust Reading Competition (RRC), initiated in 2003 and re-established in 2011, has become a de-facto evaluation standard for robust reading systems and algorithms. Concurrent with its second incarnation in 201…

Management

ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)

2017-08-31 · Baoguang Shi, Cong Yao, Minghui Liao, Mingkun Yang 외

Chinese is the most widely used language in the world. Algorithms that read Chinese text in natural images facilitate applications of various kinds. Despite the large potential value, datasets and competitions in the pas…

valid