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

Baoguang Shi, Cong Yao, Minghui Liao, Mingkun Yang, Pei Xu, Linyan Cui, Serge Belongie, Shijian Lu, Xiang Bai
2017 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR)  
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 past primarily focus on English, which bares very different characteristics than Chinese. This report introduces RCTW, a new competition that focuses on Chinese text reading. The competition features a large-scale dataset with over 12,000 annotated images. Two tasks, namely text
more » ... alization and end-to-end recognition, are set up. The competition took place from January 20 to May 31, 2017. 23 valid submissions were received from 19 teams. This report includes dataset description, task definitions, evaluation protocols, and results summaries and analysis. Through this competition, we call for more future research on the Chinese text reading problem.
doi:10.1109/icdar.2017.233 dblp:conf/icdar/ShiYLYXCBLB17 fatcat:xbb4qjl2era4nc4tchozl3kkja