Text Detection by Fusing Text Edge Semantics in Arbitrary Shapes

Abstract

In this paper, we propose a method of fusing text edge semantics (FTES) for text semantic segmentation. FTES divides an image containing text into text semantic region, edge semantic region and background semantic region, where edge region is as a transitional region that splits text region from background region. At the same time, we design a text semantics segmentation network FTES-Net to detect arbitrarily shaped text regions in an images. We perform experiments on two public datasets containing a large number of non-linear text regions, and the results show that our proposed text region detection method can achieve comparable results.