Ergina Kavallieratou
ABSTRACT
A line detection and segmentation technique is presented. The proposed technique is an improved version of an older technique. The experiments have been performed on the dataset of the ICDAR 2007 handwriting segmentation contest in order to be able to compare, objectively, the performance of the two techniques. The improvement between the older and newer version is more than 24% while the average extra CPU time cost is less than 200 ms per page.
- Gatos, B., Antonacopoulos, A., Stamatopoulos, N. 2007. ICDAR2007 handwriting segmentation contest. In: 9th International Conference on Document Analysis and Recognition (ICDAR'07), Curitiba, Brazil, September. Google Scholar
Digital Library
- Likforman-Sulem, L., Zahour, A., and Taconet, B. 2007. Text Line Segmentation of Historical Documents: A Survey. International Journal of Document Analysis and Recognition, Vol. 9, 123--138. Google ScholarDigital Library
- Kavallieratou, N., Fakotakis, N., & Kokkinakis, G. (2002). An unconstrained handwriting recognition system. International Journal on Document Analysis and Recognition, 4(4):226--242.Google ScholarCross Ref
Index Terms
- Text line detection and segmentation: uneven skew angles and hill-and-dale writing
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