Real-Time Scene Text Detection Based on Stroke Model

In this paper we bring forth a novel stroke-based method which is simple and effective to detect texts in natural scenes. We first introduce a general mathematical model to describe character strokes from the perspective of the scale space along with difference of Gaussian filters. Then we detail a text line aggregation approach utilizing the inherent text layout. Afterwards, we set up the whole scheme with three main steps, i.e. stroke extraction, text line aggregation and verification. Finally, experiments show the advantage of our method. As strokes are considered to be the fundamental component of characters, compared to edge- or other connected-component-based methods, our method is much more reasonable.