Skip to content

Robust reading challenge on scanned receipts OCR and information extraction

Notifications You must be signed in to change notification settings

ngocphucck/ICDAR-2019

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

SROIE 2019: Scanned Receipts OCR and Information Extraction

Introduction

This challange consists 3 parts:

  • Task 1 - Scanned Receipt Text Localisation: the aim of this task is to accurately localize texts with 4 vertices. In the contest, I used object detection model like SSD, EAST.
  • Task 2 - Scanned Receipt OCR: the aim of this task is to accurately recognize the text in a receipt image. I implemented CRNN - the combination of CNN and RNN for this recognition.
  • Task 3 - Key Information Extraction from Scanned Receipts: the aim of this task is to extract texts of a number of key fields from given receipts and BERT's family is a promise choice for this task.

Demo

You just change your image path in file demo.py and run the below script

cd demo
python3 demo.py

About

Robust reading challenge on scanned receipts OCR and information extraction

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages