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

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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Bibliographic Details
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/
http://irep.iium.edu.my/64473/
http://irep.iium.edu.my/64473/1/Quranic%20Sign%20Language%20for%20Deaf%20People%20Quranic%20Recitation%20Classification%20and%20Verification.pdf
id iium-64473
recordtype eprints
spelling iium-644732018-07-13T02:06:48Z 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
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
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/
http://irep.iium.edu.my/64473/
http://irep.iium.edu.my/64473/1/Quranic%20Sign%20Language%20for%20Deaf%20People%20Quranic%20Recitation%20Classification%20and%20Verification.pdf
first_indexed 2023-09-18T21:31:29Z
last_indexed 2023-09-18T21:31:29Z
_version_ 1777412540922331136

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