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- W2920435404 abstract "This paper describes part of an ongoing comprehensive research project that is aimed at generating aMathML 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 accessiblethrough 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 ormathematical 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 needto be machine readable for use with assistive technologies. This research is a work in progress and includes multipledifferent modules: detecting and extracting mathematical expressions, recursive primitive component extraction, non-alphanumerical symbols recognition, structural semantic analysis and merging primitive components to generate theMathML of the scanned PDF document. An optional module converts MathML to audio format using a Text to Speechengine (TTS) to make the document accessible for vision-impaired users.Keywords: math recognition, graphics recognition, Mathematical Informati" @default.
- W2920435404 created "2019-03-11" @default.
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- W2920435404 date "2014-12-10" @default.
- W2920435404 modified "2023-09-26" @default.
- W2920435404 title "Mathematical information retrieval (MIR) fromscanned PDF documents and MathML conversion" @default.
- W2920435404 hasPublicationYear "2014" @default.
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