National conference on Digital Image and Signal Processing |
Foundation of Computer Science USA |
DISP2015 - Number 2 |
April 2015 |
Authors: Hashem Ghaleb, P. Nagabhushan, Umapada Pal |
c9e004b1-788e-4867-a304-7d5d3e02471f |
Hashem Ghaleb, P. Nagabhushan, Umapada Pal . Segmentation of Overlapped Handwritten Arabic Sub-Words. National conference on Digital Image and Signal Processing. DISP2015, 2 (April 2015), 24-29.
Arabic script is cursive in both handwritten and printed form. Segmentation of Arabic script- especially handwritten- is a very challenging task. Many difficulties arise due to the inherent characteristics of Arabic writing such as the overlapping of Arabic sub-words wherein the sub-words share the same vertical space, and vertical ligatures wherein characters are stacked upon each other in a word. In this paper, an algorithm to resolve the overlapping of handwritten Arabic sub-words is introduced. The proposed algorithm is based on pushing strategy; sub-words are pushed in order to obtain a clear vertical cut separating the sub-words. The proposed algorithm was tested using handwritten text selected from four different datasets and the results are quite promising.