Automatic segmentation for Arabic characters in handwriting documents

A. Lawgali*, A. Bouridane, M. Angelova, Z. Ghassemlooy

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication

11 Citations (Scopus)

Abstract

The cursive and ligature nature of the Arabic script make the segmentation of words into individual characters a difficult task. Despite attempts to apply methods for cursive Latin and other scripts to Arabic script, it is generally insufficient to segment the Arabic text. This paper proposes a new segmentation algorithm for the handwritten Arabic text and the main idea consists of segmenting the word into sub-words and then computing the baseline of each sub-word. Using the descenders of sub-words and the baseline, candidate points are then calculated using a vertical projection. The algorithm has been tested using 800 handwritten Arabic words taken from the IFN/ENIT database and a comparison made against some existing methods and promising results have been obtained.

Original languageEnglish
Title of host publication2011 18th IEEE International Conference on Image Processing
Pages3529-3532
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 18th IEEE International Conference on Image Processing, ICIP 2011 - Brussels, Belgium
Duration: 11 Sept 201114 Sept 2011

Publication series

NameProceedings - International Conference on Image Processing (ICIP)
ISSN (Print)1522-4880
ISSN (Electronic)2381-8549

Conference

Conference2011 18th IEEE International Conference on Image Processing, ICIP 2011
Country/TerritoryBelgium
CityBrussels
Period11/09/1114/09/11

Keywords

  • Arabic character segmentation

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