一种通用的文件识别方法,应用于一个自动生成乐谱、数学公式和表格结构的识别系统

Bertrand Coüasnon
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引用次数: 67

摘要

结构化文档识别中的通用性是一个难题。因此,我们提出了一种新的通用文档识别方法,称为DMOS(分割的描述和修改),它由一种新的语法形式称为EPF(增强位置形式)和一个能够在分割中引入上下文的相关解析器组成。我们实现了这个方法来获得一个文档识别系统的生成器。该生成器可以自动生成新的识别系统。只需要用EPF语法描述文档,然后简单地编译它。通过这种方式,我们开发了各种识别系统:一个是乐谱识别系统,一个是数学公式识别系统,还有一个是递归表结构识别系统。我们还确定了19世纪受损军事形式的具体应用。我们已经能够在5000个这些军事表格上测试生成的系统。这使我们能够在实际应用程序中验证DMOS方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DMOS: a generic document recognition method, application to an automatic generator of musical scores, mathematical formulae and table structures recognition systems
Genericity in structured document recognition is a difficult challenge. We therefore propose a new generic document recognition method, called DMOS (Description and MOdification of Segmentation), that is made up of a new grammatical formalism, called EPF (Enhanced Position Formalism) and an associated parser which is able to introduce context in segmentation. We implement this method to obtain a generator of document recognition systems. This generator can automatically produce new recognition systems. It is only necessary to describe the document with an EPF grammar, which is then simply compiled. In this way, we have developed various recognition systems: one on musical scores, one on mathematical formulae and one on recursive table structures. We have also defined a specific application to damaged military forms of the 19th Century. We have been able to test the generated system on 5,000 of these military forms. This has permitted us to validate the DMOS method on a real-world application.
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