ICDAR2013 Competition on Multi-font and Multi-size Digitally Represented Arabic Text

Author

Slimane, Fouad ; Kanoun, Slim ; El Abed, Haikal ; Alimi, Adel M. ; Ingold, Rolf ; Hennebert, Jean

Author_Institution

Dept. of Inf., Univ. of Fribourg, Fribourg, Switzerland

fYear

2013

fDate

25-28 Aug. 2013

Firstpage

1433

Lastpage

1437

Abstract

This paper describes the Arabic Recognition Competition: Multi-font Multi-size Digitally Represented Text held in the context of the 12th International Conference on Document Analysis and Recognition (ICDAR´2013), during August 25-28, 2013, Washington DC, United States of America. This competition has used the freely available Arabic Printed Text Image (APTI) database. A first edition took place in ICDAR´2011. In this edition, four groups with six systems are participating in the competition. The systems are compared using the recognition rates at character and word levels. The systems were tested in a blind manner using set 6 of APTI database. A short description of the participating groups, their systems, the experimental setup, and the observed results are presented.

Keywords

natural language processing; optical character recognition; text analysis; text detection; visual databases; APTI database; Arabic recognition competition; ICDAR 2011; ICDAR 2013; International Conference on Document Analysis and Recognition; character level recognition rates; freely available Arabic printed text image database; multifont multisize digitally represented Arabic text; word level recognition rates; Character recognition; Databases; Feature extraction; Hidden Markov models; Image recognition; Protocols; Text recognition; APTI Database; Arabic Text; Competition; OCR System; Ultra-Low Resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition (ICDAR), 2013 12th International Conference on

Conference_Location

Washington, DC

ISSN

1520-5363

Type

conf

DOI

10.1109/ICDAR.2013.289

Filename

6628850