Braille image recognition for beginners

Braille is a tactile that consists of dots which is used by visually impaired people in reading. Braille pattern of alphabet consists of its own pattern in which some of it does not even relate to the alphabet. Thus, it is difficult for normal people to detect and recognize the braille pattern. This...

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Published in:2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018 - Proceeding
Main Author: Ibrahim S.; Tarmizi N.A.; Sabri N.; Mohd Johari N.F.; Ahmad Fadzil A.F.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063437379&doi=10.1109%2fICSGRC.2018.8657490&partnerID=40&md5=66b6ceb9af31103fcad961eaac4205d7
id 2-s2.0-85063437379
spelling 2-s2.0-85063437379
Ibrahim S.; Tarmizi N.A.; Sabri N.; Mohd Johari N.F.; Ahmad Fadzil A.F.
Braille image recognition for beginners
2018
2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018 - Proceeding


10.1109/ICSGRC.2018.8657490
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063437379&doi=10.1109%2fICSGRC.2018.8657490&partnerID=40&md5=66b6ceb9af31103fcad961eaac4205d7
Braille is a tactile that consists of dots which is used by visually impaired people in reading. Braille pattern of alphabet consists of its own pattern in which some of it does not even relate to the alphabet. Thus, it is difficult for normal people to detect and recognize the braille pattern. This paper presents a study of braille image recognition for beginners. The outcome of this study is expected to translate a braille image patterns into a readable alphabet text. A technique of Bag of Features (BOF) is proposed for the recognition of the braille image. On the other hand, the image classification is done using a Support Vector Machine (SVM) technique. Seventy-eight of braille images is tested. From the testing performed, it is found that 97.44% of correct recognition accuracy is achieved which revealed that the proposed techniques are applicable for braille image recognition. © 2018 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper

author Ibrahim S.; Tarmizi N.A.; Sabri N.; Mohd Johari N.F.; Ahmad Fadzil A.F.
spellingShingle Ibrahim S.; Tarmizi N.A.; Sabri N.; Mohd Johari N.F.; Ahmad Fadzil A.F.
Braille image recognition for beginners
author_facet Ibrahim S.; Tarmizi N.A.; Sabri N.; Mohd Johari N.F.; Ahmad Fadzil A.F.
author_sort Ibrahim S.; Tarmizi N.A.; Sabri N.; Mohd Johari N.F.; Ahmad Fadzil A.F.
title Braille image recognition for beginners
title_short Braille image recognition for beginners
title_full Braille image recognition for beginners
title_fullStr Braille image recognition for beginners
title_full_unstemmed Braille image recognition for beginners
title_sort Braille image recognition for beginners
publishDate 2018
container_title 2018 9th IEEE Control and System Graduate Research Colloquium, ICSGRC 2018 - Proceeding
container_volume
container_issue
doi_str_mv 10.1109/ICSGRC.2018.8657490
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063437379&doi=10.1109%2fICSGRC.2018.8657490&partnerID=40&md5=66b6ceb9af31103fcad961eaac4205d7
description Braille is a tactile that consists of dots which is used by visually impaired people in reading. Braille pattern of alphabet consists of its own pattern in which some of it does not even relate to the alphabet. Thus, it is difficult for normal people to detect and recognize the braille pattern. This paper presents a study of braille image recognition for beginners. The outcome of this study is expected to translate a braille image patterns into a readable alphabet text. A technique of Bag of Features (BOF) is proposed for the recognition of the braille image. On the other hand, the image classification is done using a Support Vector Machine (SVM) technique. Seventy-eight of braille images is tested. From the testing performed, it is found that 97.44% of correct recognition accuracy is achieved which revealed that the proposed techniques are applicable for braille image recognition. © 2018 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
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record_format scopus
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