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.

本文介绍了通过 ICDAR 2019 比赛推广的扫描收据 OCR 和关键信息提取（SROIE）技术，它可以从扫描的收据中提取出关键信息并将其保存为结构化文档，以用于多种商业应用，但该领域中已发表的研究工作和进展非常少。