Arabic Alphabet and Numbers Sign Language Recognition
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2015, Vol 6, Issue 11
Abstract
This paper introduces an Arabic Alphabet and Numbers Sign Language Recognition (ArANSLR). It facilitates the communication between the deaf and normal people by recognizing the alphabet and numbers signs of Arabic sign language to text or speech. To achieve this target, the system able to visually recognize gestures from hand image input. The proposed algorithm uses hand geometry and the different shape of a hand in each sign for classifying letters shape by using Hidden Markov Model (HMM). Experiments on real-world datasets showed that the proposed algorithm for Arabic alphabet and numbers sign language recognition is suitability and reliability compared with other competitive algorithms. The experiment results show that the increasing of the gesture recognition rate depends on the increasing of the number of zones by dividing the rectangle surrounding the hand.
Authors and Affiliations
Mahmoud Abdo, Alaa Hamdy, Sameh Salem, Elsayed Saad
Keywords
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- EP ID EP148785
- DOI 10.14569/IJACSA.2015.061127
- Views 114
- Downloads 0
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