A Feasible Framework for Arbitrary-Shaped Scene Text Recognition (2019-12-10T00:00:00.000000Z)

TL;DR

This paper proposes a feasible framework for multi-lingual arbitrary-shaped STR, including instance segmentation based text detection and language model based attention mechanism for text recognition.

Abstract

Deep learning based methods have achieved surprising progress in Scene Text Recognition (STR), one of classic problems in computer vision. In this paper, we propose a feasible framework for multi-lingual arbitrary-shaped STR, including instance segmentation based text detection and language model based attention mechanism for text recognition. Our STR algorithm not only recognizes Latin and Non-Latin characters, but also supports arbitrary-shaped text recognition. Our method wins the championship on Scene Text Spotting Task (Latin Only, Latin and Chinese) of ICDAR2019 Robust Reading Challenge on ArbitraryShaped Text Competition. Code is available at this https URL.

Authors

Qingjie Liu

5 papers

Yunhong Wang

6 papers

Di Huang

2 papers

TL;DR

Abstract

Authors

References59 items

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