MC-OCR挑战2021:收据信息提取和质量评估的简单方法

2021 RIVF International Conference on Computing and Communication Technologies (RIVF) Pub Date : 2021-08-19 DOI:10.1109/RIVF51545.2021.9642150

C. M. Nguyen, Vi Van Ngo, Dang Duy Nguyen

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引用次数: 1

摘要

这个挑战是在RIVF conference 2021上组织的[12]，有两个任务，包括(1)捕获收据的图像质量评估(IQA)和(2)必要字段的关键信息提取(KIE)，我们的团队提出了一个基于提取图像补丁的解决方案，用于任务1,Yolov5 + VietOCR用于任务2。我们的解决方案在任务1(排名7)的RMSE得分为0.149，在任务2(排名1)的CER得分为0.219。我们的代码可在https://github.com/cuongngm/RIVF2021上获得。

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MC-OCR Challenge 2021: Simple approach for receipt information extraction and quality evaluation

This challenge organized at the RIVF conference 2021 [12], with two tasks including (1) image quality assessment (IQA) of the captured receipt, and (2) key information extraction (KIE) of required fields, our team came up with a solution based on extracting image patches for task 1 and Yolov5 + VietOCR for task 2. Our solution achieved 0.149 of the RMSE score for task 1 (rank 7) and 0.219 of the CER score for task 2 (rank 1). Our code is available at https://github.com/cuongngm/RIVF2021.

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2021 RIVF International Conference on Computing and Communication Technologies (RIVF)

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