Text recognition of mobile-captured receipts Call For Participation

Mobile captured receipts OCR (MC-OCR) is a process of recognizing text from structured and semi-structured receipts, and invoices in general captured by mobile devices. This process plays a critical role in the streamlining of document-intensive processes and office automation in many financial, accounting and taxation areas. However, MC-ORC faces big challenges due to the complexity of mobile captured images. First, receipts might be crumpled or the content might be blurred. Second, different from scanned images the quality of photos taken with mobile devices is very diverse because of the light condition and the dynamic environment (e.g., in-door, out-door, complex background, etc.), where the receipts were captured. These result in low quality of recognized information. To address them, in this challenge, we target two tasks including (1) evaluating the quality of the captured receipt, and (2) recognizing required fields of the receipt. The task hence is a multi-modal analysis task which can take advantages from both fields: computer vision and natural language processing which are two of the main interests of the RIVF community.

To participate, please join RIV2021 MC-OCR Challenge via Codalab:

• First and foremost, please register to participate at THIS LINK. You will be added to a Google Groups for further notification.

• Afterwards, please join the challenge via Codalab: https://competitions.codalab.org/competitions/27798 (no longer accept new registration).

• New challenge page: https://aihub.vn/competitions/1 (Legacy version of the above one).