Efficient Scene text localization and recognition with local character refinement
Lukáš Neumann, Jiřı́ Matas · 2015
An unconstrained end-to-end text localization and recognition method is presented. The method detects initial text hypothesis in a single pass by an efficient region-based method and subsequently refines the text hypothesis using a more robust local text model, which deviates from the common assumption of region-based methods that all characters are detected as connected components.