This paper presents an evaluation of the AWS Textract in the context of extracting data from receipts. We analyse Textract functionalities using a dataset that includes receipts of varied formats and conditions. Our analysis provided a qualitative view of Textract strengths and limitations. While the receipts totals were consistently detected, we also observed typical issues and irregularities that were often influenced by image quality and layout. Based on the analysis of the observations, we propose mitigation strategies.
翻译:本文评估了AWS Textract在收据数据提取场景中的表现。我们使用包含多种格式与状态的收据数据集,系统分析了Textract的各项功能。分析结果从定性角度揭示了Textract的优势与局限:虽然收据总金额能够被稳定识别,但我们也观察到典型问题与异常情况,这些现象常受图像质量与版面布局的影响。基于观测结果的分析,我们进一步提出了相应的缓解策略。