Ninth International Conference on Document Analysis and Recognition (ICDAR 2007) Vol 1
On-Line Handwritten Text Line Detection Using Dynamic Programming
Curitiba, Parana, Brazil
September 23-September 26
ISBN: 0-7695-2822-8
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