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    Mathematical Formula Recognition and Transformation to a Linear Format Suitable for Vocalization

    195208_102468_IJCSE13-05-09-040-1.pdf (228.6Kb)
    Access Status
    Open access
    Authors
    Nazemi, Azadeh
    Murray, Iain
    Date
    2013
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Nazemi, Azadeh and Murray, Iain. 2013. Mathematical Formula Recognition and Transformation to a Linear Format Suitable for Vocalization. International Journal on Computer Science and Engineering. 5 (9): pp. 847-855.
    Source Title
    International Journal on Computer Science and Engineering
    Additional URLs
    http://www.enggjournals.com/ijcse/doc/IJCSE13-05-09-040.pdf
    ISSN
    0975-3397
    Remarks

    This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/2.5/in/. Please refer to the licence to obtain terms for any further reuse or distribution of this work.

    URI
    http://hdl.handle.net/20.500.11937/43452
    Collection
    • Curtin Research Publications
    Abstract

    Students with vision impairment encounter barriers in studying mathematics particularly in higher education levels. They must have an equal chance with sighted students in mathematics subjects. Making mathematics accessible to the vision impaired users is a complicated process. This accessibility can be static or dynamic, in static accessibility the user is presented with a representation of the entire mathematic expression passively such as using Braille, dynamic accessibility allows the user to navigate the mathematical content in accordance with its structure interactively such as audio format [1]. MATHSPEAK is an application that accepts objects described in LaTeX and converts it to a linear or sequential representation suitable for vocalization, describing functions to people with severe vision impairment. MATHSPEAK provides interactive dynamic access to mathematic expressions by rendering them to audio format. This paper describes a method to create plain text from images of mathematical formulae and convert this text to LaTeX which is used in the earlier developed algorithm, “MATHSPEAK”.

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