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Conference Papers Year : 2009

Effect of Ghost Character Theory on Arabic Script Based Languages Character Recognition

Abstract

Arabic script is used by more than 1/4th population of the world in the form of different languages like Arabic, Persian, Urdu, Sindhi, Pashto etc but each language have its own words meaning. The set of شhas 58 alphabets. Arabic script based languages character recognition is difficult task due to complexities involved in this script not exist in other script. The analysis of the Arabic script is very complicated due to its use of diacritical marks associated with each character and written in many fonts and style. This script has gain very less intention by the researcher. This paper present a novel technique named Ghost Character Recognition Theory that will helps to develop a Multilanguage character recognition system for Arabic script based languages based on Ghost Character Theory. The main benefit of proposed approach is that it will works for all Arabic script based languages by doing effort for ghost character (basic skeleton) and developing dictionary for every language. By handling all Arabic script based languages many issues will arise like recognition rate as compared to system for specific languages, but in general it is not big issue for multilingual system and at the end we will get multilingual character recognition system.
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Dates and versions

inria-00579666 , version 1 (24-03-2011)

Identifiers

  • HAL Id : inria-00579666 , version 1

Cite

Mohamed Imran Razzak, Abdel Belaïd, Syed Afaq Hussain. Effect of Ghost Character Theory on Arabic Script Based Languages Character Recognition. WASE Global Conference on Image Processing and Analysis - GCIA09, Feb 2009, Taiwan, China. ⟨inria-00579666⟩
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