A flexible framework for online document segmentation by pairwise stroke distance learning
A flexible framework for handling segmentation of online documents is introduced. The system is based on single linkage clustering with globally trained distance. Absence of external parameters permits flexibility for various segmentation tasks. Results on a variety of segmentation tasks demonstrate the method validity.
segmentation clustering document analysis and recognition online handwriting layout analysis pen computing