Handbook of Document Image Processing and Recognition
Handbook of Document Image Processing and Recognition
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DOI：
10.1007/978-0-85729-859-1
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发表时间：
2014-05
期刊：
影响因子：
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通讯作者：
D. Doermann;K. Tombre
中科院分区：
文献类型：
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作者：
D. Doermann;K. Tombre
表格和表单是在结构化文档中组织信息的一种非常常见的方式。它们的识别是识别文档的基础。事实上，表格或表单的物理组织提供了大量关于内容逻辑意义的信息。本章介绍了与表格和表单的识别相关的不同任务以及相关的众所周知的方法和剩余的挑战。指出了三个主要任务：异构文档中表格的检测;根据预定义的模型对表格和表单进行分类;以及表格和表单内容的识别。这三项任务的复杂性与所研究的文档类型有关：基于图像的文档还是数字化文档。最后，本章将介绍一些现有的表格和表单分析系统。
Tables and forms are a very common way to organize information in structureddocuments. Their recognition is fundamental for the recognition of the documents.Indeed, the physical organization of a table or a form gives a lot ofinformation concerning the logical meaning of the content.This chapter presents the different tasks that are related to the recognitionof tables and forms and the associated well-known methods and remaining challenges. Three main tasks are pointed out: the detection of tables in heterogeneousdocuments; the classification of tables and forms, according to predefinedmodels; and the recognition of table and form contents. The complexity of thesethree tasks is related to the kind of studied document: image-based document ordigital-born documents. At last, this chapter will introduce some existing systemsfor table and form analysis.