VML-HD: The historical Arabic documents dataset for recognition systems

Majeed Kassis; Alaa Abdalhaleem; Ahmad Droby; Reem Alaasam; Jihad El-Sana

doi:10.1109/ASAR.2017.8067751

VML-HD: The historical Arabic documents dataset for recognition systems

Majeed Kassis, Alaa Abdalhaleem, Ahmad Droby, Reem Alaasam, Jihad El-Sana

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

30 Scopus citations

Abstract

In this paper we present a new database with handwritten Arabic script. It is based on five books written by different writers from the years 1088-1451. We took 680 pages from these five books, and fully annotated them on the sub-word level. For each page we manually applied bounding boxes on the different sub-words and annotated the sequence of characters. It consists of 121,636 sub-word appearances consisted of 244,553 characters out of a vocabulary of 1,731 forms of sub-words. The database is described in detail and is designed for training and testing recognition systems for handwritten Arabic sub-words. This database is available for the purpose of research, and we encourage researchers to develop and test new methods using our database.

Original language	English
Title of host publication	1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017
Publisher	Institute of Electrical and Electronics Engineers
Pages	11-14
Number of pages	4
ISBN (Electronic)	9781509066285
DOIs	https://doi.org/10.1109/ASAR.2017.8067751
State	Published - 13 Oct 2017
Event	1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017 - Nancy, France Duration: 3 Apr 2017 → 5 Apr 2017

Publication series

Name	1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017

Conference

Conference	1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017
Country/Territory	France
City	Nancy
Period	3/04/17 → 5/04/17

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Linguistics and Language
Computer Science Applications

Access to Document

10.1109/ASAR.2017.8067751

Cite this

Kassis, M., Abdalhaleem, A., Droby, A., Alaasam, R., & El-Sana, J. (2017). VML-HD: The historical Arabic documents dataset for recognition systems. In 1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017 (pp. 11-14). Article 8067751 (1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ASAR.2017.8067751

Kassis, Majeed ; Abdalhaleem, Alaa ; Droby, Ahmad et al. / VML-HD : The historical Arabic documents dataset for recognition systems. 1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017. Institute of Electrical and Electronics Engineers, 2017. pp. 11-14 (1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017).

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abstract = "In this paper we present a new database with handwritten Arabic script. It is based on five books written by different writers from the years 1088-1451. We took 680 pages from these five books, and fully annotated them on the sub-word level. For each page we manually applied bounding boxes on the different sub-words and annotated the sequence of characters. It consists of 121,636 sub-word appearances consisted of 244,553 characters out of a vocabulary of 1,731 forms of sub-words. The database is described in detail and is designed for training and testing recognition systems for handwritten Arabic sub-words. This database is available for the purpose of research, and we encourage researchers to develop and test new methods using our database.",

author = "Majeed Kassis and Alaa Abdalhaleem and Ahmad Droby and Reem Alaasam and Jihad El-Sana",

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Kassis, M, Abdalhaleem, A, Droby, A, Alaasam, R & El-Sana, J 2017, VML-HD: The historical Arabic documents dataset for recognition systems. in 1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017., 8067751, 1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017, Institute of Electrical and Electronics Engineers, pp. 11-14, 1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017, Nancy, France, 3/04/17. https://doi.org/10.1109/ASAR.2017.8067751

VML-HD: The historical Arabic documents dataset for recognition systems. / Kassis, Majeed; Abdalhaleem, Alaa; Droby, Ahmad et al.
1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017. Institute of Electrical and Electronics Engineers, 2017. p. 11-14 8067751 (1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Kassis M, Abdalhaleem A, Droby A, Alaasam R, El-Sana J. VML-HD: The historical Arabic documents dataset for recognition systems. In 1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017. Institute of Electrical and Electronics Engineers. 2017. p. 11-14. 8067751. (1st IEEE International Workshop on Arabic Script Analysis and Recognition, ASAR 2017). doi: 10.1109/ASAR.2017.8067751

VML-HD: The historical Arabic documents dataset for recognition systems

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