STAN: A sequential transformation attention-based network for scene text recognition

•We propose a new method called sequential transformation attention network for irregular scene text recognition.•Taking decomposition as the key idea, our method can rectify irregular text effectively.•The proposed method is optimized in an end-to-end weakly supervised manner.•Our method achieves state-of-the-art results on text recognition benchmarks.