我正在使用Microsoft Computer Vision阅读收据。
我得到的结果被排序到按列分组的区域中，例如数量，产品名称，数量分别在三个不同的区域。
如果整个产品列表是一个区域，而每一行都是一个产品，我希望。
有没有什么方法可以配置Computer Vision来完成此任务，或者更有可能的是，由于所有单词的位置都可用，因此可以在结果的后处理中使用任何好的技术或库。
波纹管是收据的图像和计算机视觉的结果。
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}
最佳答案
这不是计算机视觉问题，它不是NLP/文本模式识别问题。换句话说，所有OCR都不会做您想做的事；他们只从图像中提取文本。
通常的方法是收集许多不同类型的收据，研究其结构，然后使用基于规则的方法或基于机器学习的方法对每条信息进行分类。分类器可以具有{项目名称，项目价格，小计，总计，标题，其他}之类的类别。您可以使用边界框来形成网格单元，并将相邻单元用作特征。
教程
Applying OCR Technology for Receipt Recognition。
云服务
开源项目