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A New Arabic Printed Text Image Database and Evaluation Protocols

Authors:

Jean HennebertAuthors Info & Claims

ICDAR '09: Proceedings of the 2009 10th International Conference on Document Analysis and Recognition

Pages 946 - 950

https://doi.org/10.1109/ICDAR.2009.155

Published: 26 July 2009 Publication History

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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 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.

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Khan SNazir SKhan H(2023)Analysis of Cursive Text Recognition Systems: A Systematic Literature ReviewACM Transactions on Asian and Low-Resource Language Information Processing10.1145/359260022:7(1-30)Online publication date: 20-Jul-2023
https://dl.acm.org/doi/10.1145/3592600
Alzubaidi MOtoom MAhmad N(2021)Real-time Assistive Reader Pen for Arabic LanguageACM Transactions on Asian and Low-Resource Language Information Processing10.1145/342313320:1(1-30)Online publication date: 31-Mar-2021
https://dl.acm.org/doi/10.1145/3423133
Chernyshova YEmelianova ESheshkus AArlazarov V(2021)MIDV-LAIT: A Challenging Dataset for Recognition of IDs with Perso-Arabic, Thai, and Indian ScriptsDocument Analysis and Recognition – ICDAR 202110.1007/978-3-030-86331-9_17(258-272)Online publication date: 5-Sep-2021
https://dl.acm.org/doi/10.1007/978-3-030-86331-9_17
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Index Terms

A New Arabic Printed Text Image Database and Evaluation Protocols
1. Applied computing
  1. Document management and text processing
    1. Document capture
      1. Optical character recognition

Index terms have been assigned to the content through auto-classification.

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ICDAR '09: Proceedings of the 2009 10th International Conference on Document Analysis and Recognition

July 2009

1425 pages

ISBN:9780769537252

Publisher

IEEE Computer Society

United States

Publication History

Published: 26 July 2009

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Khan SNazir SKhan H(2023)Analysis of Cursive Text Recognition Systems: A Systematic Literature ReviewACM Transactions on Asian and Low-Resource Language Information Processing10.1145/359260022:7(1-30)Online publication date: 20-Jul-2023
https://dl.acm.org/doi/10.1145/3592600
Alzubaidi MOtoom MAhmad N(2021)Real-time Assistive Reader Pen for Arabic LanguageACM Transactions on Asian and Low-Resource Language Information Processing10.1145/342313320:1(1-30)Online publication date: 31-Mar-2021
https://dl.acm.org/doi/10.1145/3423133
Chernyshova YEmelianova ESheshkus AArlazarov V(2021)MIDV-LAIT: A Challenging Dataset for Recognition of IDs with Perso-Arabic, Thai, and Indian ScriptsDocument Analysis and Recognition – ICDAR 202110.1007/978-3-030-86331-9_17(258-272)Online publication date: 5-Sep-2021
https://dl.acm.org/doi/10.1007/978-3-030-86331-9_17
Bouressace HCsirik J(2019)Printed Arabic Text Database for Automatic Recognition SystemsProceedings of the 2019 5th International Conference on Computer and Technology Applications10.1145/3323933.3324082(107-111)Online publication date: 16-Apr-2019
https://dl.acm.org/doi/10.1145/3323933.3324082
Alkhateeb FAbu Doush IAlbsoul A(2017)Arabic optical character recognition softwarePattern Recognition and Image Analysis10.1134/S105466181704006X27:4(763-776)Online publication date: 1-Oct-2017
https://dl.acm.org/doi/10.1134/S105466181704006X
Kacem ASaïdani A(2017)A texture-based approach for word script and nature identificationPattern Analysis & Applications10.1007/s10044-016-0555-x20:4(1157-1167)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s10044-016-0555-x
Choudhary PNain N(2016)A Four-Tier Annotated Urdu Handwritten Text Image Dataset for Multidisciplinary Research on Urdu ScriptACM Transactions on Asian and Low-Resource Language Information Processing10.1145/285705315:4(1-23)Online publication date: 16-May-2016
https://dl.acm.org/doi/10.1145/2857053
Hakro DTalib A(2016)Printed Text Image Database for Sindhi OCRACM Transactions on Asian and Low-Resource Language Information Processing10.1145/284609315:4(1-18)Online publication date: 16-May-2016
https://dl.acm.org/doi/10.1145/2846093
(2016)Open-vocabulary recognition of machine-printed Arabic text using hidden Markov modelsPattern Recognition10.1016/j.patcog.2015.09.01151:C(97-111)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1016/j.patcog.2015.09.011
Naz SUmar AAhmad RAhmed SShirazi SSiddiqi IRazzak M(2016)Offline cursive Urdu-Nastaliq script recognition using multidimensional recurrent neural networksNeurocomputing10.1016/j.neucom.2015.11.030177:C(228-241)Online publication date: 12-Feb-2016
https://dl.acm.org/doi/10.1016/j.neucom.2015.11.030
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Neural Networks Pipeline for Offline Machine Printed Arabic OCR

A Database for Arabic Printed Character Recognition

Printed Arabic Text Database for Automatic Recognition Systems

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