Baseline Estimation in Arabic Handwritten Text-Line - Evaluation on AHTID/MW Database
Anis Mezghani, Slim Kanoun, Souhir Bouaziz, Maher Ali Khemakhem, Haikal El Abed · 2013
Baseline extraction is one of the most important phases for handwriting recognition. Due to the complexity of the Arabic scripts, baseline detection of Arabic handwritten text-lines is a difficult task compared to other languages. In this work, a method which combines some baseline extraction techniques used in literature was presented to provide a fine estimation of baseline in Arabic handwritten text-lines. For evaluation purpose, the AHTID/MW database was extended by a baseline ground truth annotation. The database is freely available for researchers worldwide which enable other researchers to test their baseline detection systems.