TextCohesion: Detecting Text for Arbitrary Shapes

22 Apr 2019  ·  Weijia Wu, Jici Xing, Hong Zhou ·

In this paper, we propose a pixel-wise method named TextCohesion for scene text detection, which splits a text instance into five key components: a Text Skeleton and four Directional Pixel Regions. These components are easier to handle than the entire text instance... A confidence scoring mechanism is designed to filter characters that are similar to text. Our method can integrate text contexts intensively when backgrounds are complex. Experiments on two curved challenging benchmarks demonstrate that TextCohesion outperforms state-of-the-art methods, achieving the F-measure of 84.6% on Total-Text and bfseries86.3% on SCUT-CTW1500. read more

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Results from the Paper


Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Curved Text Detection SCUT-CTW1500 TextCohesion F-Measure 86.3% # 1
Scene Text Detection Total-Text TextCohesion F-Measure 84.6% # 7

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