Abstract
Sketch recognition is widely used in pen-based interaction, especially as the increasing popularity of devices with touch screens. It can enhance human-computer interaction by allowing a natural/free form of interaction. The main challenging problem is the variability in hand drawings. This paper presents an on-line sketch recognition method based on the direction feature. We also present two feature representations to train a classifier. We support our case by experimental results obtained from the NicIcon database. A recognition rate of 97.95% is achieved, and average runtime is 97.6ms using a Support Vector Machine classifier.
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Deng, W., Wu, L., Yu, R., Lai, J. (2013). On-Line Sketch Recognition Using Direction Feature. In: Kotzé, P., Marsden, G., Lindgaard, G., Wesson, J., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2013. INTERACT 2013. Lecture Notes in Computer Science, vol 8119. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40477-1_16
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DOI: https://doi.org/10.1007/978-3-642-40477-1_16
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