MC-OCR Challenge 2021: Towards Document Understanding for Unconstrained Mobile-Captured Vietnamese Receipts

The Mobile capture receipts Optical Character Recognition (MC-OCR) [14] challenge deliver two tasks: Receipt Image Quality Evaluation and Key Information Extraction. In the first task, we introduce a regression model to map various inputs, for instance the probability of the output OCR, cropped text boxes, images to actual label. In the second task, we propose a stacked multi-model as a solution to solve this problem. The robust models are incorporated by image segmentation, image classification, text detection, text recognition, and text classification. Follow this solution, we can get vital tackle various noise receipt types: horizontal, skew, and blur receipt.