评测亚马逊Textract在票据识别中的表现，发现图像质量影响关键信息提取。
Towards Analysing Invoices and Receipts with Amazon Textract
- 用多格式票据数据集测试Textract的识别能力
- 总金额提取准确率高，但受图像质量与版式影响大
- 适合需要快速集成文档解析服务的开发者参考
本文评估了AWS Textract在票据数据提取场景下的表现。基于包含多种格式与质量条件的票据数据集，分析其功能特性。结果表明，尽管总额信息始终能被稳定检测，但整体识别效果仍受图像质量与布局复杂度影响，出现常见错误与不一致现象。结合观察结果，提出若干优化策略以提升识别鲁棒性。
原文摘要 · Abstract (English)
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.
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