MC-OCR Challenge: Mobile-Captured Image Document Recognition for Vietnamese Receipts
Xuan-Son Vu, Quang-Anh Bui, Nhu-Van Nguyen, Thi Tuyet Haï Nguyen, Thanh Vu
Abstract
The paper describes the organisation of the "Mobile Captured Receipt Recognition Challenge" (MC-OCR) task at the RIVF conference 2021 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> on recognizing the fine-grained information in Vietnamese receipts captured using mobile devices. The task is organized as a multi-tasking model on a dataset containing 2,436 Vietnamese receipts. The participants were challenged to build a model that is capable of (1) predicting receipt’s quality based on readable information, and (2) recognizing textual information of four required information (i.e., "SELLER", "SELLER ADDRESS", "TIMESTAMP", and "TOTAL COST") in the receipts. MC-OCR challenge happened in one month and top winners of each task will present their solutions at RIVF 2021. Participants were competing on CodaLab.Org from 05 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> December 2020 to 23 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">rd</sup> January 2021. All participants with valid submitted results were encouraged to submit their papers. Within one month, the challenge has attracted 105 participants and recorded about 1,285 submission entries.