  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.
