Research Article
Arabic Sign Language Recognition
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 89 - Issue 20 |
| Published: March 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 },
year = { 2014 },
volume = { 89 },
number = { 20 },
pages = { 19-26 },
doi = { 10.5120/15747-4523 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Mahmoud Zaki Abdo
%A Alaa Mahmoud Hamdy
%A Sameh Abd El-Rahman Salem
%A El-Sayed Mostafa Saad
%T Arabic Sign Language Recognition%T
%J International Journal of Computer Applications
%V 89
%N 20
%P 19-26
%R 10.5120/15747-4523
%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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