A Multilevel Text-Line Segmentation Framework for Handwritten Historical Documents
Ines Ben Messaoud|Hamid Amiri|Haikal El Abed|Volker Märgner
Text-line segmentation is considered as a crucial step of document analysis and recognition systems because its output the input systems. Due to reason that same handwritten image page has different characteristics, we propose in this paper multilevel framework for historical documents. In framework, one or many methods are selected according features. This tested on IAM database (60 images) images from competition held at ICFHR 2010. The evaluation based several metrics. tests show proposed gives promoting results.