ICDAR 2015 Text Reading in the Wild Competition
It addresses the lack of benchmarks for non-English text in natural scenes, providing a playground for researchers in computer vision and document analysis.
The paper presents the ICDAR 2015 Text Reading in the Wild competition, which established a benchmark for assessing text detection and recognition algorithms for both Chinese and English scripts, reporting the performance of participating methods.
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 and systems are specifically designed for English. This technical report presents the final results of the ICDAR 2015 Text Reading in the Wild (TRW 2015) competition, which aims at establishing a benchmark for assessing detection and recognition algorithms devised for both Chinese and English scripts and providing a playground for researchers from the community. In this article, we describe in detail the dataset, tasks, evaluation protocols and participants of this competition, and report the performance of the participating methods. Moreover, promising directions for future research are discussed.