Authors:
Anis Mezghani
1
;
Slim Kanoun
2
;
Souhir Bouaziz
3
;
Maher Khemakhem
1
and
Haikal El Abed
4
Affiliations:
1
MIRACL Lab, ISIMS and University of Sfax, Tunisia
;
2
MIRACL Lab, ISIMS, University of Sfax, University of Sfax and National School of Engineers (ENIS), Tunisia
;
3
University of Sfax and National School of Engineers (ENIS), Tunisia
;
4
Braunschweig Technical University and Institute for Communications Technology (IfN), Germany
Keyword(s):
Baseline Estimation, Handwritten Text-Line, AHTID/MW Database, Ground Truth.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Cardiovascular Imaging and Cardiography
;
Cardiovascular Technologies
;
Computer Vision, Visualization and Computer Graphics
;
Health Engineering and Technology Applications
;
Image Understanding
;
Object Recognition
;
Pattern Recognition
;
Shape Representation
;
Signal Processing
;
Software Engineering
Abstract:
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.