DocumentCode
1991058
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
fYear
2007
fDate
12-15 Feb. 2007
Firstpage
1
Lastpage
6
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ISSPA.2007.4555620
Filename
4555620
Link To Document