What is it about?
A comprehensive survey of Document Layout Analysis (DLA) algorithms by following a general DLA framework. The DLA is essentially the automatic detection and labeling of a document's content. The current survey brings three major contributions to the research community. It proposes a comprehensive DLA framework and presents a critical study of DLA at the various analysis levels of the framework (i.e., regional analysis, text analysis, etc.); it summarizes the different DLA techniques in the literature and categorizes them at the analysis strategy level, and then identifies and discusses the three levels of DLA performance evaluations.
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Why is it important?
Benchmarking the DLA stages.
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This page is a summary of: Document Layout Analysis, ACM Computing Surveys, January 2020, ACM (Association for Computing Machinery),
DOI: 10.1145/3355610.
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