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Fuzzy Closed Concept for the Correction of Errors in the Dematerialization Process

机译:模糊闭合概念,用于纠正非物化过程中的错误

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In this paper, we propose a new method able to correct errors related to the recognition of invoice type documents. We rely on automated document readers that can read and recognize the various, relevant information in a scanned document. The process consists of digitizing a large volume of documents, and passes them through automatic documents readers, then carries out the correction of the different errors. The final objective is to find an electronic document reflecting all information included in the background document. The main goal is the generation of organized electronic documents, like a data basis or files XML. To achieve this issue we develop a new parser which is applicable to a various kind of documents, especially the corrections for the recognition errors by using the fuzzy closed concept, this formalism allow the detection of the set of rules to be applied in a set of documents.
机译:在本文中,我们提出了一种能够纠正与识别发票类型文档相关的错误的新方法。我们依靠可以在扫描文档中读取和识别各种相关信息的自动文档读取器。该过程包括数字化大量文档,并通过自动文档读取器传递它们,然后执行不同错误的校正。最终目标是找到反映背景文档中包含的所有信息的电子文档。主要目标是组织电子文档的生成,如数据基础或文件XML。为了实现这个问题,我们开发了一个适用于各种文档的新解析器,特别是通过使用模糊闭合概念来识别误差的校正,这种形式主义允许检测到一组中应用的规则集文件。

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