user-independent recognition of arabic sign language for facilitating communication with the deaf community开题资料.pdf
Digital Signal Processing 21 (2011) 535–542 Contents lists available at ScienceDirect Digital Signal Processing
User-independent recognition of Arabic sign language for facilitating communication with the deaf community ∗ T. Shanableh a, , K. Assaleh b a Department of Computer Science and Engineering, American University of Sharjah, United Arab Emirates b Department of Electrical Engineering, American University of Sharjah, United Arab Emirates article info abstract Article history: This paper presents a solution for user-independent recognition of isolated Arabic sign language gestures. Available online 26 January 2011 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 then Keywords: accumulated into two images according to the directionality of the motion. Different accumulation Digital video/image processing
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