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Arabic Sign Language Recognition

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 20
Year of Publication: 2014
Mahmoud Zaki Abdo
Alaa Mahmoud Hamdy
Sameh Abd El-rahman Salem
El-sayed Mostafa Saad

Mahmoud Zaki Abdo, Alaa Mahmoud Hamdy, Sameh Abd El-rahman Salem and El-sayed Mostafa Saad. Article: Arabic Sign Language Recognition. International Journal of Computer Applications 89(20):19-26, March 2014. Full text available. BibTeX

	author = {Mahmoud Zaki Abdo and Alaa Mahmoud Hamdy and Sameh Abd El-rahman Salem and El-sayed Mostafa Saad},
	title = {Article: Arabic Sign Language Recognition},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {20},
	pages = {19-26},
	month = {March},
	note = {Full text available}


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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