Table detection in heterogeneous documents

Shafait, Faisal; Smith, Ray

doi:10.1145/1815330.1815339

Cited by 100 publications

(67 citation statements)

References 17 publications

(12 reference statements)

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“…The paper [43] presents a statistical approach and line detection to find tables. The authors in [7,15,19,37,39] present other solutions of this problem.…”

Section: Segment Recognitionmentioning

confidence: 99%

Image-based logical document structure recognition

Kamola

Spytkowski

Paradowski

et al. 2014

Pattern Anal Applic

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The paper presents a complete solution for recognition of textual and graphic structures in various types of documents acquired from the Internet. In the proposed approach, the document structure recognition problem is divided into sub-problems. The first one is localizing logical structure elements within the document. The second one is recognizing segmented logical structure elements. The input to the method is an image of document page, the output is the XML file containing all graphic and textual elements included in the document, preserving the reading order of document blocks. This file contains information about the identity and position of all logical elements in the document image. The paper describes all details of the proposed method and shows the results of the experiments validating its effectiveness. The results of the proposed method for paragraph structure recognition are comparable to the referenced methods which offer segmentation only.

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“…The paper [43] presents a statistical approach and line detection to find tables. The authors in [7,15,19,37,39] present other solutions of this problem.…”

Section: Segment Recognitionmentioning

confidence: 99%

Image-based logical document structure recognition

Kamola

Spytkowski

Paradowski

et al. 2014

Pattern Anal Applic

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“…In case of research for detecting table, almost paper detached the table detection part from layout analysis system. Faisal Shafait [7] takes a practical algorithm for table detection. The author built upon two components of the layout analysis module, column partitions and column layout.…”

Section: Introductionmentioning

confidence: 99%

Local Similarity based Document Layout Analysis using Improved ARLSA

Kim¹,

Kim²,

Na³

2015

International Journal of Contents

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“…Making use of the ink template of tables, they search for a best match of ink templates and the segmented text lines. Shafait and Smith extend table detection to multi-column documents [16]. However, existing techniques cannot be used directly on our evaluation documents because they usually assume clean/simple input and/or well-segmented text lines.…”

Section: Introductionmentioning

confidence: 99%