21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07) Arabic Sign Language Recognition an Image-Based Approach Niagara Falls, Ontario, Canada May 21-May 23 ISBN: 0-7695-2847-3
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINAW.2007.98
In this paper we propose an image based system for Arabic Sign Language recognition. A Gaussian skin color model is used to detect the signer?s face. The centroid of the detected face is then used as a reference to track the hands movement using region growing from the sequence of images comprising the signs. A number of features are then selected from the detected hand regions across the sequence of images. The recognition stage is performed using a Hidden Markov Model. The proposed system achieved a recognition accuracy of about 93% for a data set of 300 signs with leave one out method.
Citation:
M. Mohandes, S.I. Quadri, M. Deriche, "Arabic Sign Language Recognition an Image-Based Approach," ainaw, vol. 1, pp.272-276, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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