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Mathematical information retrieval (MIR) from scanned PDF documents and MathML conversion
Nazemi, Azadeh; Murray, Iain; McMeekin, David A.
This paper describes part of an ongoing comprehensive research project that is aimed at generating a MathML format from images of mathematical expressions that have been extracted from scanned PDF documents. A MathML representation of a scanned PDF document reduces the document’s storage size and encodes the math- ematical notation and meaning. The MathML representation then becomes suitable for vocalization and accessible through the use of assistive technologies. In order to achieve an accurate layout analysis of a scanned PDF document, all textual and non-textual components must be recognised, identified and tagged. These components may be text or mathematical expressions and graphics in the form of images, figures, tables and/or diagrams. Mathematical expres- sions are one of the most significant components within scanned scientific and engineering PDF documents and need to be machine readable for use with assistive technologies. This research is a work in progress and includes multiple different modules: detecting and extracting mathematical expressions, recursive primitive component extraction, non- alphanumerical symbols recognition, structural semantic analysis and merging primitive components to generate the MathML of the scanned PDF document. An optional module converts MathML to audio format using a Text to Speech engine (TTS) to make the document accessible for vision-impaired users. Keywords: math recognition, graphics recognition, Mathematical Informati
Keyword(s): mathematical recognition; graphics recognition; Mathematical Information Retrieval (MIR); Support Vector; Machine (SVM)
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Nazemi, Azadeh, Murray, Iain and McMeekin, David A. ORCID: 0000-0001-6445-1183 <> (2014) Mathematical information retrieval (MIR) from scanned PDF documents and MathML conversion. IPSJ Transactions on Computer Vision and Applications, 6 . pp. 132-142. ISSN 1882-6695
File Format(s): application/pdf
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First Indexed: 2019-03-05 06:06:39 Last Updated: 2019-03-05 06:06:39