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.
You just change your image path in file demo.py and run the below script
cd demo
python3 demo.py