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This paper presents a novel hand segmentation method in complex environment based on color model and boundary cutting. Probability map is generated through skin color model to get a rough segmentation. For boundary cutting, a vote map based method is proposed to get precise hand segmentation. Experimental result is appraised by sensitivity and specificity which are 96.54% and 96.92% respectively.
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on (Volume:3 )
Date of Conference: 15-17 July 2012