This repository an OCR solution using the dataset from the ICDAR-SROIE competition. This dataset is mainly about Optical Character Recognition and information extraction:
Scanned receipts OCR and information extraction (SROIE) play critical roles in streamlining document-intensive processes and office automation in many financial, accounting and taxation areas.
Original dataset: Google Drive/Baidu NetDisk
The dataset has 1000 whole scanned receipt images. Each receipt image contains around about four key text fields, such as goods name, unit price and total cost, etc. The text annotated in the dataset mainly consists of digits and English characters. An example scanned receipt is shown below:
The dataset is split into a training/validation set (“trainval”) and a test set (“test”). The “trainval” set consists of 600 receipt images, the “test” set consists of 400 images.
For receipt OCR task, each image in the dataset is annotated with text bounding boxes (bbox) and the transcript of each text bbox. Locations are annotated as rectangles with four vertices, which are in clockwise order starting from the top. Annotations for an image are stored in a text file with the same file name. The annotation format is similar to that of ICDAR2015 dataset, which is shown below:
x1_1,y1_1,x2_1,y2_1,x3_1,y3_1,x4_1,y4_1,transcript_1
x1_2,y1_2,x2_2,y2_2,x3_2,y3_2,x4_2,y4_2,transcript_2
x1_3,y1_3,x2_3,y2_3,x3_3,y3_3,x4_3,y4_3,transcript_3
…
For the information extraction task, each image in the dataset is annotated with a text file with format shown below:
{
"company": "STARBUCKS STORE #10208",
"address": "11302 EUCLID AVENUE, CLEVELAND, OH (216) 229-0749",
"date": "14/03/2015",
"total": "4.95"
}1.Scanned Receipt OCR: The aim of this task is to accurately recognize the text in a receipt image. No localisation information is provided, or is required.
2.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 save the texts for each receipt image in a json file.