User-independent recognition of Arabic sign language for facilitating communication with the deaf community
This paper presents a solution for user-independent recognition of isolated Arabic Sign language gestures. The video based gestures are preprocessed to segment out the hands of the signer based on color segmentation of the colored gloves. The prediction errors of consecutive segmented images are the...
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| Format: | article |
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2011
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| Online Access: | http://hdl.handle.net/11073/8830 |
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