  Scanned receipts OCR and key information extraction (SROIE) represent the
processeses of recognizing text from scanned receipts and extracting key texts
from them and save the extracted tests to structured documents. SROIE plays
critical roles for many document analysis applications and holds great
commercial potentials, but very little research works and advances have been
published in this area. In recognition of the technical challenges, importance
and huge commercial potentials of SROIE, we organized the ICDAR 2019
competition on SROIE. In this competition, we set up three tasks, namely,
Scanned Receipt Text Localisation (Task 1), Scanned Receipt OCR (Task 2) and
Key Information Extraction from Scanned Receipts (Task 3). A new dataset with
1000 whole scanned receipt images and annotations is created for the
competition. In this report we will presents the motivation, competition
datasets, task definition, evaluation protocol, submission statistics,
performance of submitted methods and results analysis.
