LVRA: Low Vision Reading Algorithm

Habib M. Fardoun; Mohamed Mashat; Lorenzo Carretero González

REHAB 2014

Research Article

LVRA: Low Vision Reading Algorithm

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/icst.pervasivehealth.2014.255254,
    author={Habib M. Fardoun and Mohamed Mashat and Lorenzo Carretero Gonz\^{a}lez},
    title={LVRA: Low Vision Reading Algorithm},
    proceedings={REHAB 2014},
    publisher={ICST},
    proceedings_a={REHAB},
    year={2014},
    month={7},
    keywords={low vision algorithm low vision reading algorithm bresenham algorithm human computer interaction rehabilitation digital image processing},
    doi={10.4108/icst.pervasivehealth.2014.255254}
}

Habib M. Fardoun
Mohamed Mashat
Lorenzo Carretero González
Year: 2014
LVRA: Low Vision Reading Algorithm
REHAB
ICST
DOI: 10.4108/icst.pervasivehealth.2014.255254

Habib M. Fardoun^,*, Mohamed Mashat¹, Lorenzo Carretero González¹

1: King Abdulaziz University

*Contact email: hfardoun@kau.edu.sa

Abstract

This paper presents the Low Vision Reading Algorithm for people with low vision problems; Low Vision Algorithm is used to reveal the hidden information under the zones in which the user cannot see correctly. This algorithm improves the obtained result when the device is used to read some type of document or web page. Thus, if it is connected with a ocular movement detection application, it aids people to use the devices in a more comfortable way.

Keywords: low vision algorithm low vision reading algorithm bresenham algorithm human computer interaction rehabilitation digital image processing

Published: 2014-07-23
Publisher: ICST

: http://dx.doi.org/10.4108/icst.pervasivehealth.2014.255254