Title :
Strategies for visual arabic handwriting recognition: Issues and case study
Author :
Cheriet, Mohamed
Author_Institution :
Lab. for Imagery, Univ. of Quebec, Quebec City, QC
Abstract :
Automatic recognition of Arabic handwritten text is a problem worth solving; it gained more and more interest in recent years, for various reasons. In this paper we address the most frequently encountered problems when dealing with Arabic handwriting recognition and we briefly present lessons learnt from several serious attempts that have been undertaken in this regard. We give a summary of techniques concerning Arabic handwriting recognition research. We will end by a case study, recognition of Tunisian city names, emphasizing on visual-based strategies for Arabic handwriting recognition (AHR).
Keywords :
handwriting recognition; handwritten character recognition; natural languages; Arabic handwriting recognition; Arabic handwritten text recognition; Tunisian city name recognition; automatic recognition; visual-based strategies; Artificial intelligence; Computer aided software engineering; Concatenated codes; Databases; Handwriting recognition; Laboratories; Optical character recognition software; Paper technology; Text recognition; Writing;
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
DOI :
10.1109/ISSPA.2007.4555620