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On-Line Handwritten Text Line Detection Using Dynamic Programming
Curitiba, Parana, Brazil September 23-September 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDAR.2007.200Ninth International Conference on Doc ...
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M. Liwicki, University of Bern, Switzerland
E. Inderm?, University of Bern, Switzerland
H. Bunke, University of Bern, Switzerland
In this paper we propose a novel approach to the detec- tion of on-line handwritten text lines based on dynamic pro- gramming. We try to find the paths with the minimum cost between two consecutive text lines. Most steps of the pro- posed algorithm are based on off-line information. Hence the method can also be applied to off-line documents af- ter a few minor changes. In our experiments we show that this dynamic programming based approach is better than a common on-line segmentation procedure.
Citation:
M. Liwicki, E. Inderm?, H. Bunke, "On-Line Handwritten Text Line Detection Using Dynamic Programming," icdar, vol. 1, pp.447-451, Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1, 2007
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