{"title":"MC-OCR挑战2021:收据信息提取和质量评估的简单方法","authors":"C. M. Nguyen, Vi Van Ngo, Dang Duy Nguyen","doi":"10.1109/RIVF51545.2021.9642150","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":6860,"journal":{"name":"2021 RIVF International Conference on Computing and Communication Technologies (RIVF)","volume":"86 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"MC-OCR Challenge 2021: Simple approach for receipt information extraction and quality evaluation\",\"authors\":\"C. M. Nguyen, Vi Van Ngo, Dang Duy Nguyen\",\"doi\":\"10.1109/RIVF51545.2021.9642150\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":6860,\"journal\":{\"name\":\"2021 RIVF International Conference on Computing and Communication Technologies (RIVF)\",\"volume\":\"86 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 RIVF International Conference on Computing and Communication Technologies (RIVF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RIVF51545.2021.9642150\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 RIVF International Conference on Computing and Communication Technologies (RIVF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RIVF51545.2021.9642150","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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