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Arabic Sign Language Recognition

by Mahmoud Zaki Abdo, Alaa Mahmoud Hamdy, Sameh Abd El-rahman Salem, El-sayed Mostafa Saad
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 20
Year of Publication: 2014
Authors: Mahmoud Zaki Abdo, Alaa Mahmoud Hamdy, Sameh Abd El-rahman Salem, El-sayed Mostafa Saad
10.5120/15747-4523

Mahmoud Zaki Abdo, Alaa Mahmoud Hamdy, Sameh Abd El-rahman Salem, El-sayed Mostafa Saad . Arabic Sign Language Recognition. International Journal of Computer Applications. 89, 20 ( March 2014), 19-26. DOI=10.5120/15747-4523

@article{ 10.5120/15747-4523,
author = { Mahmoud Zaki Abdo, Alaa Mahmoud Hamdy, Sameh Abd El-rahman Salem, El-sayed Mostafa Saad },
title = { Arabic Sign Language Recognition },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 20 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 19-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number20/15747-4523/ },
doi = { 10.5120/15747-4523 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:45.359243+05:30
%A Mahmoud Zaki Abdo
%A Alaa Mahmoud Hamdy
%A Sameh Abd El-rahman Salem
%A El-sayed Mostafa Saad
%T Arabic Sign Language Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 20
%P 19-26
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The objective of the research presented in this paper is to facilitate the communication between the deaf and non deaf people. To achieve this goal, computers should be able to visually recognize hand gestures from image input. An efficient and fast algorithm for gestures of manual Arabic letters for the sign language is proposed. The proposed system uses the concept of hand geometry for classifying letter shapes. Experiments revealed that satisfactory results are obtained via the proposed algorithm. The experiment results show that the gesture recognition rate of Arabic alphabet for different signs is 81. 6 %

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Index Terms

Computer Science
Information Sciences

Keywords

Sign language recognition image analysis hand gestures hand geometry.

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