PDF-TREX: An Approach for Recognizing and Extracting Tables from PDF Documents

Oro, Ermelinda; Ruffolo, Massimo

doi:10.1109/icdar.2009.12

Cited by 79 publications

(33 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, the problem of table understanding was split up into three tasks: 1) Many approaches to table understanding, e.g. [2], [3], have been designed to work on object-based documents as input and therefore cannot be evaluated using datasets consisting solely of page images. By choosing born-digital PDF as the format for the competition dataset, we have made it possible for such approaches to participate in the competition, as well as those based on raster images and plain text documents.…”

Section: Introductionmentioning

confidence: 99%

ICDAR 2013 Table Competition

Göbel

Hassan

Oro

et al. 2013

2013 12th International Conference on Document Analysis and Recognition

Self Cite

203

164

View full text Add to dashboard Cite

Table understanding is a well studied problem in document analysis, and many academic and commercial approaches have been developed to recognize tables in several document formats, including plain text, scanned page images and born-digital, object-based formats such as PDF. Despite the abundance of these techniques, an objective comparison of their performance is still missing. The Table Competition held in the context of ICDAR 2013 is our first attempt at objectively evaluating these techniques against each other in a standardized way, across several input formats. The competition independently addresses three problems: (i) table location, (ii) table structure recognition, and (iii) these two tasks combined. We received results from seven academic systems, which we have also compared against four commercial products. This paper presents our findings.

show abstract

Section: Introductionmentioning

confidence: 99%

ICDAR 2013 Table Competition

Göbel

Hassan

Oro

et al. 2013

2013 12th International Conference on Document Analysis and Recognition

Self Cite

203

164

View full text Add to dashboard Cite

show abstract

“…Some heuristics on content elements can also be built in the same way they could be perceived by a human reader. Thus, the content elements can be aligned and grouped in a bottomup way to exploit spatial relationship among them and build lines, blocks, rows, and the final cell grid [38,39].…”

Section: Structural Methods For Table Localizationmentioning

confidence: 99%

Handbook of Document Image Processing and Recognition

2014

View full text Add to dashboard Cite

Tables and forms are a very common way to organize information in structured documents. Their recognition is fundamental for the recognition of the documents. Indeed, the physical organization of a table or a form gives a lot of information concerning the logical meaning of the content. This chapter presents the different tasks that are related to the recognition of tables and forms and the associated well-known methods and remaining B. Coüasnon ()

show abstract

“…The use of heuristics can produce a whole algorithm for the grid construction, like in the PDF-TREX approach [39]. First, rows are built using the horizontal alignment of content elements.…”

Section: Using Geometric Informationmentioning

confidence: 99%

“…PDF-TREX is a heuristic approach for table recognition and extraction from PDF documents [39]. The heuristic aligns and groups, in a bottom-up way, content elements by exploiting only the relationships existing among them.…”

Section: Consolidated Systems and Softwarementioning

confidence: 99%