Paper Info
Title
ICFHR 2020 Competition on Offline Recognition and Spotting of Handwritten Mathematical Expressions - OffRaSHME
Abstract
This paper presents the competition on Offline Recognition and Spotting of Handwritten Mathematical Expressions (OffRaSHME) held at the 17th International Conference on Frontiers in Handwriting Recognition (ICFHR 2020). Handwritten Mathematical Expression Recognition (HMER) has wide potential applications and is capturing increasing attention in recent years. Previous HMER competitions mainly focused on online datasets or offline datasets that are converted from online data. In this competition, we have collected a dataset of offline handwritten mathematical expressions by scanning papers that contain expressions. Moreover, we labeled the offline dataset at symbol level, i.e., the bounding boxes of each symbol are also provided, to facilitate the research of HMER. At last, 19,749 offline handwritten mathematical expressions are collected for training, and 2,000 ones are provided for evaluating the participating systems. In the competition, 7 teams submitted 8 systems for the task of offline HMER, among which 5 systems only use the provided datasets without any extra data while 3 systems use extra data. The winner team achieved a recognition accuracy of 79.85% (without extra data) and 81.85% (with extra data) on the offline formula recognition task.
Year
DOI
Venue
2020
10.1109/ICFHR2020.2020.00047
2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR)
Keywords
DocType
ISSN
offline handwritten mathematical expression,offline formula recognition,symbol level annotation,competition
Conference
2167-6445
ISBN
Citations 
PageRank 
978-1-7281-9967-2
0
0.34
References 
Authors
7
8
Name
Order
Citations
PageRank
Da-Han Wang135324.33
Fei Yin270150.37
Jin-Wen Wu300.34
Yu-Pei Yan400.34
Zhi-Cai Huang500.34
Gui-Yun Chen600.34
Yao Wang72312.50
Cheng-Lin Liu84367239.75