  Inspired by the recent successes of deep learning on Computer Vision and
Natural Language Processing, we present a deep learning approach for
recognizing scanned receipts. The recognition system has two main modules: text
detection based on Connectionist Text Proposal Network and text recognition
based on Attention-based Encoder-Decoder. We also proposed pre-processing to
extract receipt area and OCR verification to ignore handwriting. The
experiments on the dataset of the Robust Reading Challenge on Scanned Receipts
OCR and Information Extraction 2019 demonstrate that the accuracies were
improved by integrating the pre-processing and the OCR verification. Our
recognition system achieved 71.9% of the F1 score for detection and recognition
task.
