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Filtering and reducing dimension in the recognition of Vietnamese static sign language
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This approach begins with pre-processing steps, feature extraction and classification to recognize and to show the results of the relevant letter. In this paper, the hand’s region is segmented from the background using skin color; after that, filters are used to reduce noise/ to smooth noise before extracting the features using the downsampling method. |