Yihong Wang
ABSTRACT
This paper proposes a shapelet-based fingertip detection method. Firstly, an image of a hand with five fingers opening is collected, and then it is preprocessed by some measures, including median filtering, binarization according to the skin color space, morphological processing and palm edge extraction. Then, the palm position is calculated using the extracted palm contour, and the distances from the palm position to all points of the palm contour are calculated in turn and converted into a sequence. The sequences of the same length corresponding to five fingertip parts can be extracted, and the sequences of other parts can be divided into sequences with similar lengths to the fingertip sequences for shapelet extraction. Finally, the extracted shapelet is matched with the sequences converted from other palm images, and the position of the fingertip can be accurately detected.
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