Title :
On-Line Handwritten Text Line Detection Using Dynamic Programming
Author :
Liwicki, Marcus ; Indermühle, Emanuel ; Bunke, Horst
Author_Institution :
Univ. of Bern, Bern
Abstract :
In this paper we propose a novel approach to th tion of on-line handwritten text lines based on dynamic programming. We try to find the paths with the minimum cost between two consecutive text lines. Most steps of the proposed algorithm are based on off-line information. Hence the method can also be applied to off-line documents after a few minor changes. In our experiments we show that this dynamic programming based approach is better than a common on-line segmentation procedure.
Keywords :
document image processing; dynamic programming; handwritten character recognition; image recognition; document image processing; dynamic programming; online handwritten text line detection; Computer science; Cost function; Dynamic programming; Filtering; Filters; Handwriting recognition; Humans; Mathematics; Text analysis; Text recognition;
Conference_Titel :
Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
Conference_Location :
Parana
Print_ISBN :
978-0-7695-2822-9
DOI :
10.1109/ICDAR.2007.4378749