Conversion of PDF documents into HTML: a case study of document image analysis

Rahman, Fuad; Alam, Hassan

doi:10.1109/acssc.2003.1291873

Cited by 21 publications

(11 citation statements)

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“…We again use the method of character projection to detect the columns, including number of columns, column position in a page. In contrast to [5], we do not assume only vertical columns.…”

Section: Detection Of Columnsmentioning

confidence: 96%

“…In an earlier paper [4] we described a method of detecting page body areas by body text font expansion and header-footer elimination. Rahman et al [5] also discussed how to find columns at the page level using white space rectangles. Saitoh et al [6] presented a system of document image segmentation and text block ordering, including detection of text line direction as well as header and footer.…”

Section: Introductionmentioning

confidence: 98%

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Comprehensive Global Typography Extraction System for Electronic Book Documents

Gao

Tang

Lin³

et al. 2008

2008 the Eighth IAPR International Workshop on Document Analysis Systems

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Book documents usually have consistent typographies throughout the whole book, including headers, footers, columns, text line directions, and fonts used in the each level of headings. Such document-level typography information is of great value for downstream document processing applications. This paper presents a document analysis system that can extract a comprehensive set of typographies used in book documents, The system consists of several components: recognition of fonts used in the body text and chapter headings; detection of page body area, headers and footers; detection of columns, text line direction and line spacing of body text. Page-association is employed in the system. The preliminary experimental results demonstrate the effectiveness of the system.

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“…We again use the method of character projection to detect the columns, including number of columns, column position in a page. In contrast to [5], we do not assume only vertical columns.…”

Section: Detection Of Columnsmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 98%

Comprehensive Global Typography Extraction System for Electronic Book Documents

Gao

Tang

Lin³

et al. 2008

2008 the Eighth IAPR International Workshop on Document Analysis Systems

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“…Section matches were then extracted and evaluated using sensitivity, specificity, and F1‐score in addition to being reviewed by a domain expert for accuracy. Additional related work includes PDF to HTML text detection approaches that maintain layout and font information (Jiang & Yang, ), table detection, extraction and annotation (Khusro, Latif, & Ullah, ) and analysis using white spaces (Rahman & Alam, ).…”

Section: Related Workmentioning

confidence: 99%

A supervised learning approach for heading detection

Budhiraja

Mago²

2020

Expert Systems

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As the Portable Document Format (PDF) file format increases in popularity, research in analysing its structure for text extraction and analysis is necessary. Detecting headings can be a crucial component of classifying and extracting meaningful data. This research involves training a supervised learning model to detect headings with features carefully selected through recursive feature elimination. The best performing classifier had an accuracy of 96.95%, sensitivity of 0.986 and a specificity of 0.953. This research into heading detection contributes to the field of PDF based text extraction and can be applied to the automation of large scale PDF text analysis in a variety of professional and policy based contexts.

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“…For instance, researches about recovering logical structures from electronic documents all target at customized restructuring tasks for very specific sets of documents [1,2,3,4].…”

Section: Introductionmentioning

confidence: 99%