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REHAB 2014

Research Article

LVRA: Low Vision Reading Algorithm

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  • @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
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