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- W3003443118 abstract "Hand gesture recognition is a challenging problem in human computer interaction. A familiar category of this problem is American sign language recognition. In this paper, we study this problem from a topological point of view. We introduce a novel topological feature to capture and represent the shape properties of a hand gesture. The method is invariant to changes in rotation, scale, noise, and articulations. Due to the lack of ASL image database with all variations and signs, we introduced a database consisting of 520 images of 26 ASL gestures, with different rotation and deformations. Experimental results show that this algorithm can achieve a higher performance in comparison with state of the art methods." @default.
- W3003443118 created "2020-02-07" @default.
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- W3003443118 date "2020-01-01" @default.
- W3003443118 modified "2023-09-27" @default.
- W3003443118 title "A Novel Topological Descriptor for ASL" @default.
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- W3003443118 doi "https://doi.org/10.1007/978-3-030-37309-2_22" @default.
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