A multiresolution approach to on-line handwriting segmentation and feature extraction

  title={A multiresolution approach to on-line handwriting segmentation and feature extraction},
  author={Claudio De Stefano and Marco Garruto and Angelo Marcelli},
  journal={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
  pages={614-617 Vol.2}
We present an approach to on-line handwriting segmentation into elementary strokes. The segmentation is achieved by exploiting curvature information extracted from the electronic ink at different level of resolution. Such information is then combined into a saliency map, through which the segmentation points are eventually found. Information from the saliency map is also used to select the optimal resolution to be used for describing the curvature of each stroke. Experiments conducted by… CONTINUE READING

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