Arabic sign language recognition in user-independent mode

@article{Shanableh2007ArabicSL,
  title={Arabic sign language recognition in user-independent mode},
  author={Tamer Shanableh and K. Assaleh},
  journal={2007 International Conference on Intelligent and Advanced Systems},
  year={2007},
  pages={597-600}
}
In this paper we present a method for recognizing isolated Arabic sign language gestures in a user-independent mode. The proposed method requires that signers wear gloves to simplify the process of segmenting out the hands of the signer via color segmentation. The consecutive frame differences of the segmented signing hands are then thresholded and accumulated into two static images that preserve the motion information. Special accumulation strategy is employed to maintain the directionality of… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 10 references

A dynamic gesture recognition system for the Korean sign language (KSL)

IEEE Trans. Systems, Man, and Cybernetics, Part B • 1996
View 2 Excerpts
Highly Influenced

Speaker recognition with polynomial classifiers

IEEE Trans. Speech and Audio Processing • 2002
View 1 Excerpt

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