A New Arabic Printed Text Image Database and Evaluation Protocols

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 openvocabulary, 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 113’284 words, 10 Arabic fonts, 10 font sizes and 4 font styles. The database contains 45’313’600 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.

• Type: Conference
• Year: 2009
• Where: ICDAR
• Authors: Fouad Slimane, Rolf Ingold, Slim Kanoun, Adel M. Alimi, Jean Hennebert
• Keywords: Arabic Printed Words, Database, Document Analysis, ICDAR 2009, Multi-style Text Recognition