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Grouping text lines in freeform handwritten notes
2005
Eighth International Conference on Document Analysis and Recognition (ICDAR'05)
Handwritten text lines are prominent structures in freeform digital ink notes and their reliable detection is the foundation to a natural and intelligent interface for note editing and repurposing. This paper presents an optimization method for text line grouping. The global cost function is designed to find the simplest stroke partitioning to maximize the likelihood of the resulting lines and the consistency of their configuration. A dynamic programming algorithm provides an initial
doi:10.1109/icdar.2005.121
dblp:conf/icdar/YeSRLS05
fatcat:ytaothoxfbd4tdsfgo27i6zlfu