Region Based Local Binarization Approach for Handwritten Ancient Documents
Ines Ben Messaoud|Hamid Amiri|Haikal El Abed|Volker Märgner
Due to the fact that historical handwritten documents present many degradations, pre-processing of such is considered as a big challenge. Most methods and specifically binarization return better results when they are applied on printed documents. We in this paper approach adaptive for based extraction regions-of-interest. During our tests several images datasets used, benchmarking DIBCO 2009 H-DIBCO 2010 (15 images) well complete from IAM database (about 60 images). The evaluation proposed method metrics binarization. show fit with (FM about 88%) competitions.