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Braille2Alpha: Braille Dots Recognition with Alphanumeric Conversion

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BibTeX

@article{IJASEIT3399,
   author = {Abidah Zainal and Aida Mustapha and Mohd Zainuri Saringat and Pravind Raja},
   title = {Braille2Alpha: Braille Dots Recognition with  Alphanumeric Conversion},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {4-2},
   year = {2017},
   pages = {1492--1497},
   keywords = {image processing; Canny algorithm; Braille; Android},
   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.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=3399},    doi = {10.18517/ijaseit.7.4-2.3399} }

EndNote

%A Zainal, Abidah
%A Mustapha, Aida
%A Saringat, Mohd Zainuri
%A Raja, Pravind
%D 2017
%T Braille2Alpha: Braille Dots Recognition with  Alphanumeric Conversion
%B 2017
%9 image processing; Canny algorithm; Braille; Android
%! Braille2Alpha: Braille Dots Recognition with  Alphanumeric Conversion
%K image processing; Canny algorithm; Braille; Android
%X 

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.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=3399 %R doi:10.18517/ijaseit.7.4-2.3399 %J International Journal on Advanced Science, Engineering and Information Technology %V 7 %N 4-2 %@ 2088-5334

IEEE

Abidah Zainal,Aida Mustapha,Mohd Zainuri Saringat and Pravind Raja,"Braille2Alpha: Braille Dots Recognition with  Alphanumeric Conversion," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 4-2, pp. 1492-1497, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.4-2.3399.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Zainal, Abidah
AU  - Mustapha, Aida
AU  - Saringat, Mohd Zainuri
AU  - Raja, Pravind
PY  - 2017
TI  - Braille2Alpha: Braille Dots Recognition with  Alphanumeric Conversion
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 4-2
Y2  - 2017
SP  - 1492
EP  - 1497
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - image processing; Canny algorithm; Braille; Android
N2  - 

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.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=3399 DO - 10.18517/ijaseit.7.4-2.3399

RefWorks

RT Journal Article
ID 3399
A1 Zainal, Abidah
A1 Mustapha, Aida
A1 Saringat, Mohd Zainuri
A1 Raja, Pravind
T1 Braille2Alpha: Braille Dots Recognition with  Alphanumeric Conversion
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 4-2
YR 2017
SP 1492
OP 1497
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 image processing; Canny algorithm; Braille; Android
AB 

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.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=3399 DO - 10.18517/ijaseit.7.4-2.3399