Abstract
Owing to convenience and naturalness, hand gesture recognition has been widely used in various human-computer interaction (HCI) systems. In this paper, we address the problem from the perspective of system, and present a static hand gesture recognition algorithm based on Krawtchouk moments. The effect of the order and number of Krawtchouk moments on the recognition performance is studied in detail. In the experiments, 15 popular gesture signs are used to verify the effectiveness of the presented hand gesture recognition system. Experimental results demonstrate that lower order Krawtchouk moments are more suitable for classification. Furthermore, the number of Krawtchouk moments also has a significant impact on the recognition accuracy.
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Liu, S., Liu, Y., Yu, J., Wang, Z. (2014). A Static Hand Gesture Recognition Algorithm Based on Krawtchouk Moments. In: Li, S., Liu, C., Wang, Y. (eds) Pattern Recognition. CCPR 2014. Communications in Computer and Information Science, vol 484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45643-9_34
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DOI: https://doi.org/10.1007/978-3-662-45643-9_34
Publisher Name: Springer, Berlin, Heidelberg
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