The IFN/ENIT-database - a tool to develop Arabic handwriting recognition systems

Author

Abed, Haikal El ; Margner, Volker

Author_Institution

Dept. of Signal Process. for Mobile Inf. Syst.c, Braunschweig Tech. Univ., Braunschweig

fYear

2007

fDate

12-15 Feb. 2007

Firstpage

1

Lastpage

4

Abstract

Databases enclosing a huge amount of images of handwritten words together with detailed ground truth information are the most important precondition for the development of handwritten word recognition systems. The IFN/ENIT-database of handwritten Tunisian town names is used by many research groups working on recognition systems. This paper gives at first a short overview about the most important features of the IFN/ENIT-database. In the second part an example of using the data for developing baseline estimation methods is given. In the third part a recognition system is described and some results are shown.

Keywords

feature extraction; handwriting recognition; natural languages; visual databases; Arabic handwriting recognition system; IFN/ENIT-database; Tunisian town name; baseline estimation method; Cities and towns; Communications technology; Handwriting recognition; Image databases; Information systems; Labeling; Plasma welding; Shape; Signal processing; Skeleton;

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.2007.4555529

Filename

4555529