Title :
Detecting Arabic handwritten word baseline using Voronoi Diagram
Author :
Al-Shatnawi, Atallah ; Omar, Khairuddin
Author_Institution :
Dept. of Syst. Sci. & Manage., Univ. Kebangsaan Malaysia, Bangi, Malaysia
Abstract :
The purpose of this paper is to present a methodology based on Voronoi diagram for detecting the Arabic handwritten word baseline. In this paper, the definition and background of Voronoi diagram has been explained. A short survey about the application of Voronoi diagram on the language recognition fields also presented. Finally, a method is proposed based on the Voronoi diagram for detecting the Arabic baseline handwritten word. The proposed method expects to be the robust Arabic handwriting words baseline detection algorithms, because the images slope and the diacritics will not affect in the method performance. In addition it will be the first method for detecting the Arabic baseline in zigzag way. The proposed method will implement in the next phase, in order to build a complete Arabic optical character recognition system.
Keywords :
computational geometry; handwritten character recognition; optical character recognition; Arabic handwriting words baseline detection algorithms; Arabic optical character recognition system; Voronoi diagram; language recognition; Character recognition; Conference management; Image processing; Image reconstruction; Image segmentation; Informatics; Information management; Optical character recognition software; Shape; Skeleton; Arabic Baseline; Handwritten word; OCR; Voronoi Diagram;
Conference_Titel :
Electrical Engineering and Informatics, 2009. ICEEI '09. International Conference on
Conference_Location :
Selangor
Print_ISBN :
978-1-4244-4913-2
DOI :
10.1109/ICEEI.2009.5254823