A New Arabic Printed Text Image Database and Evaluation Protocols

Author

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

Author_Institution

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

fYear

2009

Firstpage

946

Lastpage

950

Abstract

We report on the creation of a database composed of images of Arabic Printed words. The purpose of this database is the large-scale benchmarking of open-vocabulary, multi-font, multi-size and multi-style text recognition systems in Arabic. The challenges that are addressed by the database are in the variability of the sizes, fonts and style used to generate the images. A focus is also given on low-resolution images where anti-aliasing is generating noise on the characters to recognize. The database is synthetically generated using a lexicon of 113psila284 words, 10 Arabic fonts, 10 font sizes and 4 font styles. The database contains 45psila313psila600 single word images totaling to more than 250 million characters. Ground truth annotation is provided for each image. The database is called APTI for Arabic Printed Text Images.

Keywords

benchmark testing; image recognition; image resolution; natural language processing; protocols; text analysis; visual databases; Arabic printed text image database; Arabic printed text image evaluation protocols; ground truth annotation; large-scale benchmarking; low-resolution images; text recognition systems; Character generation; Character recognition; Focusing; Image databases; Image generation; Image recognition; Large-scale systems; Noise generators; Protocols; Text recognition; Arabic Text Recognition System; OCR; benchmarking; text image databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 2009. ICDAR '09. 10th International Conference on

Conference_Location

Barcelona

ISSN

1520-5363

Print_ISBN

978-1-4244-4500-4

Electronic_ISBN

1520-5363

Type

conf

DOI

10.1109/ICDAR.2009.155

Filename

5277558