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

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

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Abstract

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.

Item Type:	Article (Journal)
Additional Information:	6153/64473
Uncontrolled Keywords:	Arabic Quranic Sign Language, skin filtering, LDA, NN. Computer vision
Subjects:	L Education > L Education (General) T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User:	Akram M Zeki
Date Deposited:	13 Jul 2018 10:06
Last Modified:	13 Jul 2018 10:06
URI:	http://irep.iium.edu.my/id/eprint/64473

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