Key information extraction from invoice document with Graph Convolution Network

Related tags

Deep Learning information-extraction receipt invoice kie graph-network key-information-extraction mc-ocr
Overview

Key Information Extraction from Scanned Invoices

Key information extraction from invoice document with Graph Convolution Network

Models

  • Background subtraction: U2Net
  • Image alignment: based-on output of text-detection & cv2
  • Text detection: CRAFT and an in-house text-detection model
  • Text recognition: VietOCR and an in-house text-recognition model
  • KIE: Graph Convolution

Currently, I dont have the invoice-direction classifier model. But you can also develop a model to rotate the image if the image is rotated horizontally or upside down.

Pretrained model

Data

Pipeline

TODO

Command

  • Create virtual environment using conda or virtualenv
# with virtualenv
virtualenv -p python3 invoice_env
# activate environment
source invoice_env/bin/activate
# install prerequisite libraries
pip install -r requirements.txt
# 1st command, run API
make serve
# 2nd command, run web-gui with streamlit
make runapp

Then access the localhost server at: 0.0.0.0:7778

Preview

TODO

  • Add preprocess data script

Reference

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Comments
  • Hỏi đáp về cách chọn tham số OHEM

    Hỏi đáp về cách chọn tham số OHEM

    Thông qua bài của anh, em đang muốn mở rộng nó sang bài toán KIE cho căn cước công dân. Anh có thể cho em hỏi cách chọn tham số OHEM cho model sao cho phù hợp với bài toán cần giải quyết không ạ. Tham số này phụ thuộc vào phân bố của từng class như thế nào ạ.

    opened by ducsinhvientinhnguyen 0
Owner
Phan Hoang
#HUST http://huyhoang17.github.io
Phan Hoang
GitHub
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