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Quranic sign language for deaf people: Quranic recitation classification and verification

This paper provides an overview of the techniques used in image and video recognition for sign language through following hand motions and translating it to the text of the Holy Quran. It also provides a proposal for a system that will be capable of identifying errors in Quran recitation depending o...

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Main Authors: Mahmod, Mohamed Ali, Zeki, Akram M.
Format: Article
Language:English
Published: Kulliyah of Information and Communication Technology, International Islamic University Malaysia 2018
Subjects:
L Education (General)
T Technology (General)
Online Access:http://irep.iium.edu.my/64473/1/Quranic%20Sign%20Language%20for%20Deaf%20People%20Quranic%20Recitation%20Classification%20and%20Verification.pdf
http://irep.iium.edu.my/64473/
http://journals.iium.edu.my/ijpcc/index.php/IJPCC/article/view/54
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spelling my.iium.irep.64473 http://irep.iium.edu.my/64473/ Quranic sign language for deaf people: Quranic recitation classification and verification Mahmod, Mohamed Ali Zeki, Akram M. L Education (General) T Technology (General) This paper provides an overview of the techniques used in image and video recognition for sign language through following hand motions and translating it to the text of the Holy Quran. It also provides a proposal for a system that will be capable of identifying errors in Quran recitation depending on alphabets of Arabic and Quranic sign language and be able to show where exactly errors have occurred. In addition, this system will identify and classify location of verse (Ayah) and names of Souras depending on Back-Propagation technique of the neural network. Kulliyah of Information and Communication Technology, International Islamic University Malaysia 2018-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/64473/1/Quranic%20Sign%20Language%20for%20Deaf%20People%20Quranic%20Recitation%20Classification%20and%20Verification.pdf Mahmod, Mohamed Ali and Zeki, Akram M. (2018) Quranic sign language for deaf people: Quranic recitation classification and verification. International Journal on Perceptive and Cognitive Computing, 4 (1). pp. 8-12. ISSN 2462-229X http://journals.iium.edu.my/ijpcc/index.php/IJPCC/article/view/54
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic L Education (General)
T Technology (General)
spellingShingle L Education (General)
T Technology (General)
Mahmod, Mohamed Ali
Zeki, Akram M.
Quranic sign language for deaf people: Quranic recitation classification and verification
description This paper provides an overview of the techniques used in image and video recognition for sign language through following hand motions and translating it to the text of the Holy Quran. It also provides a proposal for a system that will be capable of identifying errors in Quran recitation depending on alphabets of Arabic and Quranic sign language and be able to show where exactly errors have occurred. In addition, this system will identify and classify location of verse (Ayah) and names of Souras depending on Back-Propagation technique of the neural network.
format Article
author Mahmod, Mohamed Ali
Zeki, Akram M.
author_facet Mahmod, Mohamed Ali
Zeki, Akram M.
author_sort Mahmod, Mohamed Ali
title Quranic sign language for deaf people: Quranic recitation classification and verification
title_short Quranic sign language for deaf people: Quranic recitation classification and verification
title_full Quranic sign language for deaf people: Quranic recitation classification and verification
title_fullStr Quranic sign language for deaf people: Quranic recitation classification and verification
title_full_unstemmed Quranic sign language for deaf people: Quranic recitation classification and verification
title_sort quranic sign language for deaf people: quranic recitation classification and verification
publisher Kulliyah of Information and Communication Technology, International Islamic University Malaysia
publishDate 2018
url http://irep.iium.edu.my/64473/1/Quranic%20Sign%20Language%20for%20Deaf%20People%20Quranic%20Recitation%20Classification%20and%20Verification.pdf
http://irep.iium.edu.my/64473/
http://journals.iium.edu.my/ijpcc/index.php/IJPCC/article/view/54
_version_ 1643617249442922496
score 13.211869

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