Zainal, Abidah and Mustapha, Aida and Saringat, Mohd Zainuri and Raja, Pravind (2017) Braille2Alpha: braille dots recognition with alphanumeric conversion. International Journal on Advanced Science Engineering Information Technology, 7 (4-2). pp. 1492-1497. ISSN 2088-5334
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Abstract
The Braille system is a tactile language where each element is represented by a cell with six dot positions, arranged in three rows and two columns. Each dot position can be raised or otherwise allowing different configurations which can be felt by trained fingers. For caregivers with normal sights, training their fingers is not naturally easy. This paper presents an image processing approach to Braille dots recognition with alphanumeric conversion, whereby a person with normal eyesight is able to translate a raw Braille image captured by a mobile camera into the corresponding alphanumeric texts. Image pre-processing relies heavily on various segmentation algorithms in the MATLAB image processing Toolbox. This application is hoped to help the blind and the visually impaired community as well as their caregivers to translate Braille texts digitally, hence enhancing the communication and collaboration possibilities.
Item Type: | Article |
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Uncontrolled Keywords: | Image processing; Canny algorithm; Braille; Android |
Subjects: | Q Science > QA Mathematics > QA76 Computer software |
Divisions: | Faculty of Computer Science and Information Technology > Department of Software Engineering |
Depositing User: | Miss Nur Rasyidah Rosli |
Date Deposited: | 21 Nov 2021 02:42 |
Last Modified: | 21 Nov 2021 02:42 |
URI: | http://eprints.uthm.edu.my/id/eprint/3576 |
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