Finger identification using hand boundary decomposition

Wong CY; Lin SCF; Jiang G; Kwok NM, 2013, 'Finger identification using hand boundary decomposition', International Conference Image and Vision Computing New Zealand, pp. 346 - 351, New Zealand



Abstract / Description

A natural yet relatively unexplored way to classify hand gestures is to first count the number of fingers identifiable in a hand image. Feature variations introduced through imperfect hand segmentation or unconstrained gesture input hampers the performance of present boundary-based finger identification techniques. In this paper, we describe an adaptive parameterless procedure that strategically decomposes hand boundary into meaningful finger tip and wrist segments. Experimental results showed that a Fourier based approach to decomposing boundaries outperforms Least-Squared based methods in the presence of simulated variances. This way of hand modelling builds up to a solid foundation for robust untrained hand gesture classification. © 2013 IEEE.

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