Three decision levels strategy for Arabic and Latin texts differentiation in printed and handwritten natures

Author

Ben Jlaiel, M. ; Kanoun, Slim ; Alimi, Adel Mohamed ; Mullot, RéMy

Author_Institution

Univ. of Sfax, Sfax

Volume

2

fYear

2007

fDate

23-26 Sept. 2007

Firstpage

1103

Lastpage

1107

Abstract

Arabic and Latin script identification in printed and handwritten nature present several difficulties because the Arabic (printed or handwritten) and the handwritten Latin scripts are cursive scripts of nature. To avoid all possible confusions which can be generated, we propose in this paper a strategy which is based on three decision levels where each level will have its own features vector and will consist in identifying only one script among the scripts to identify.

Keywords

natural language processing; text analysis; Arabic script identification; Arabic texts differentiation; Latin script identification; Latin texts differentiation; cursive scripts; decision levels strategy; handwritten Latin scripts; handwritten nature; printed nature; Automation; Character recognition; Image recognition; Image texture analysis; Informatics; Laboratories; Machine intelligence; Optical character recognition software; Optical sensors; Text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on

Conference_Location

Parana

ISSN

1520-5363

Print_ISBN

978-0-7695-2822-9

Type

conf

DOI

10.1109/ICDAR.2007.4377086

Filename

4377086