Improving the Table Boundary Detection in PDFs by Fixing the Sequence Error of the Sparse Lines

Liu, Ying; Bai, Kun; Mitra, Prasenjit; Giles, C. Lee

doi:10.1109/icdar.2009.138

Cited by 27 publications

(12 citation statements)

References 4 publications

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“…Thus, it can be interesting to recover the text sequence order. Some algorithms based on the concept of sparse line that take into account the presence of columns and figures can be used [41].…”

Section: Structural Methods For Table Localizationmentioning

confidence: 99%

Handbook of Document Image Processing and Recognition

2014

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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 ()

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Section: Structural Methods For Table Localizationmentioning

confidence: 99%

Handbook of Document Image Processing and Recognition

2014

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“…Moreover, this method has been further enhanced in [21] to deal with multicolumn tables, by modeling text sequences in order to enable a two-phase algorithm performing within column resorting and crosscolumn resorting.…”

Section: Related Workmentioning

confidence: 99%

A Fuzzy Logic Approach to Wrapping PDF Documents

Flesca

Masciari

Tagarelli

2011

IEEE Trans. Knowl. Data Eng.

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The PDF format represents the de facto standard for print-oriented documents. In this paper, we address the problem of wrapping PDF documents, which raises new challenges in several contexts of text data management. Our proposal is based on a novel bottom-up hierarchical wrapping approach that exploits fuzzy logic to handle the "uncertainty" which is intrinsic to the structure and presentation of PDF documents. A PDF wrapper is defined by specifying a set of group type definitions that impose a target structure to groups of tokens containing the required information. Constraints on token groupings are formulated as fuzzy conditions, which are defined on spatial and content predicates of tokens. We define a formal semantics for PDF wrappers and propose an algorithm for wrapper evaluation working in polynomial time with respect to the size of a PDF document. The proposed approach has been implemented in a wrapper generation system that offers visual capabilities to assist the designer in specifying and evaluating a PDF wrapper. Experimental results have shown good accuracy and applicability of our system to PDF documents of various domains.

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“…This table structure easy causes the false positive recognition on multi-column paragraphs. Therefore, instead of text line or text elements, we use the homogeneous region for the same role of text line analysis or sparse lines analysis [20]. In the first step we eliminate …”

Section: Non-ruling Line Table Detectionmentioning

confidence: 99%

“…On each G t k the table candidates are analyzed again to confirm this is the table region or not based on the arrangement of text, text lines (follows row by row and column by column) and the spares line analysis [20].…”

Section: Parallel Tablementioning

confidence: 99%

A hybrid method for table detection from document image

Anh

Kim

2015

2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR)

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In this paper, we present a hybrid method consisting of three main stages for detecting tables in document images. Based on table structure, our system separates table into two main categories, ruling line table and nonruling line table. In the first stage, the text and non-text elements in document are classified by a heuristic filter. Then, the white space analysis is used to group the text elements into text lines, while ruling line table candidates are identified from non-text elements. In the second stage, based on the text lines, text and non-text elements, a hybrid method which consist of the alternative bottom-up and top-down approaches is implemented to find the table region candidates. In the final stage, these candidates are examined to get the table regions by analyzing text lines and spare lines. Experimental results with the document database from the ICDAR2013 table competition show that the proposed method works better than the previous ones.

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Improving the Table Boundary Detection in PDFs by Fixing the Sequence Error of the Sparse Lines

Abstract: As the rapid growth of PDF documents, recognizing the document structure and components are useful for document storage, classification and retrieval.

Cited by 27 publications

References 4 publications

Handbook of Document Image Processing and Recognition

Handbook of Document Image Processing and Recognition

A Fuzzy Logic Approach to Wrapping PDF Documents

A hybrid method for table detection from document image

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