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- W2610525332 abstract "Reliable hand gesture recognition is an important problem for automatic sign language recognition for the people with hearing and speech disabilities. In this paper, we create a new benchmark database of multi-oriented, isolated ASL numeric images using recently launched Kinect V2. Further, we design an effective statistical-topological feature combinations for recognition of the hand gestures using the available V1 sensor dataset and also over the new V2 dataset. For V1, our best accuracy is 98.4% which is comparable with the best one reported so far and for V2 we achieve an accuracy of 92.2% which is first of its kind." @default.
- W2610525332 created "2017-05-12" @default.
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- W2610525332 date "2017-01-01" @default.
- W2610525332 modified "2023-10-06" @default.
- W2610525332 title "Combinatorial Image Analysis" @default.
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- W2610525332 doi "https://doi.org/10.1007/978-3-319-59108-7" @default.
- W2610525332 hasPublicationYear "2017" @default.
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