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Recently, text detection and recognition in natural scenes are becomingincreasing popular in the computer vision community as well as the documentanalysis community. However, majority of the existing ideas, algorithms andsystems are specifically designed for English. This technical report presentsthe final results of the ICDAR 2015 Text Reading in the Wild (TRW 2015)competition, which aims at establishing a benchmark for assessing detection andrecognition algorithms devised for both Chinese and English scripts andproviding a playground for researchers from the community. In this article, wedescribe in detail the dataset, tasks, evaluation protocols and participants ofthis competition, and report the performance of the participating methods.Moreover, promising directions for future research are discussed.

ICDAR 2015 Text Reading in the Wild Competition