OHASD: The First On-Line Arabic Sentence Database Handwritten on Tablet PC

In this paper we present the first Arabic sentence dataset for on-line handwriting recognition written on tablet pc. The dataset is natural, simple and clear. Texts are sampled from daily newspapers. To collect naturally written handwriting, forms are dictated to writers. The current version of our dataset includes 154 paragraphs written by 48 writers. It contains more than 3800 words and more than 19,400 characters. Handwritten texts are mainly written by researchers from different research centers. In order to use this dataset in a recognition system word extraction is needed. In this paper a new word extraction technique based on the Arabic handwriting cursive nature is also presented. The technique is applied to this dataset and good results are obtained. The results can be considered as a bench mark for future research to be compared with.

Authors:

• Randa I. M. Elanwar
• Mohsen A. Rashwan
• Samia A. Mashali

Keywords:

• Arabic
• Handwriting recognition
• on-line dataset.

References:

[1] A. L. Koerich, Large Vocabulary Off-line Handwritten Word
Recognition, PHD Thesis, Ecole de Technologie Sup'erieure,
Universit'e du Qu'ebec, 2002.
[2] M. Blumenstein, Intelligent Techniques for Handwriting Recognition,
PHD Thesis, Faculty of Engineering and Information Technology,
Griffith University, 2000
[3] R. Cole, Survey of the state of the art in human language technology,
Cambridge University Press, New York, USA,1997, Ch. 2, Pages: 513-
537, ISBN:0-521-59277-1.
[4] H. El Abed, V. Märgner, M. Kherallah, A. M. Alimi, "ICDAR 2009 Online
Arabic Handwriting Recognition Competition", 10th International
Conference on Document Analysis and Recognition, 2009, ISBN: 978-
0-7695-3725-2.
[5] R. A. Huber and A. M. Headrick, Handwriting Identification: Facts and
Fundamentals, CRC Press LLC, New York, 1999.
[6] U.-V. Marti and H. Bunke, "The IAM-database: an English sentence
database for offline handwriting recognition", International Journal of
Document Analysis and Recognition, 2002, vol. 5, pp. 39 - 46.
[7] M. Liwicki and H. Bunke, "IAM-OnDB - an On-Line English Sentence
Database Acquired from Handwritten Text on a Whiteboard",
Proceedings of the Eighth International Conference on Document
Analysis and Recognition table of contents, 2005, pp. 956 - 961, 2005,
ISBN ~ ISSN:1520-5263 , 0-7695-2420-6
[8] E.H. Ratzlaff, "Inter-line Distance Estimation and Text Line Extraction
For Unconstrained On-line Handwriting", Proceedings of the Seventh
International Workshop on Frontiers in Handwriting Recognition, 2000,
pp 33-42.
[9] G. Loudon, O. Pellijeff, LI Zhong-Wei, "A Method for Handwriting
Input and Correction on Smartphones", Proceedings of the Seventh
International Workshop on Frontiers in Handwriting Recognition, 2000,
pp 481-485.
[10] T. Su, T. Zhang, and D. Guan, "HIT-MW Dataset for Offline Chinese
Handwritten Text Recognition", Proceedings of the Tenth International
Workshop on Frontiers in Handwriting Recognition, 2006.