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Mathematical information retrieval (MIR) from scanned PDF documents and MathML conversion

Nazemi, Azadeh ORCID: 0000-0002-1138-309X, 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

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Abstract

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

Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:mathematical recognition; graphics recognition; Mathematical Information Retrieval (MIR); Support Vector; Machine (SVM)
Subjects:UNSPECIFIED
DCU Faculties and Centres:UNSPECIFIED
Official URL:https://doi.org/10.2197/ipsjtcva.6.132
Copyright Information:© 2014 The Authors (Open Access)
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:23054
Deposited On:04 Mar 2019 12:08 by Azadeh Nazemi . Last Modified 03 Sep 2020 16:05

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