method: CRAFT (Preprocessing) + TPS-ResNet2019-05-01

Authors: Jeonghun Baek, Moonbin Yim, Junyeop Lee, and Hwalsuk Lee

Description: Before text recognition, we used the text detector called CRAFT as a preprocessing step.
For a recognition model, we used Thin-plate-spline (TPS) based Spatial transformer network (STN) which normalizes the input text images, ResNet based feature extractor, BiLSTM, and attention mechanism.
This model was developed based on the analysis of scene text recognition modules.
See our paper and source code.