Binarization effects on results of text-line segmentation methods applied on historical documents
Ines Ben Messaoud|Hamid Amiri|Haikal El Abed|Volker Märgner
Results of document scanning are digital images. Image processing is considered as bidimensional signal processing. Such images the input analysis and recognition systems. Information extraction one objective Textline a crucial step such systems because its output step. Most segmentation methods take binary images, which explains that binarization can affect results. We study in this paper how does choice minimally affects results text-line methods? Several evaluation metrics used for comparison between The proposed approach tested using benchmarking databases IAM (about 556 images) historical 60 images). show detection rate (DR) accuracy (RA) evaluation.