Offline Automatic Segmentation based Recognition of Handwritten Arabic Words

@inproceedings{Dinges2011OfflineAS,
  title={Offline Automatic Segmentation based Recognition of Handwritten Arabic Words},
  author={Laslo Dinges and Ayoub Al-Hamadi and Moftah Elzobi and Zaher Al Aghbari and Hassan Mustafa},
  year={2011}
}
The world heritage of handwritten Arabic documents is huge however only manual indexing and retrieval techniques of the content of these documents are available. To facilitate an automatic retrieval of such handwritten Arabic document, a number of automatic recognition systems for handwritten Arabic words have been proposed. Nevertheless, these systems suffer from low recognition accuracy due to the peculiarities of the handwritten Arabic language. Thus, in this Paper we propose a segmentation… CONTINUE READING
Highly Cited
This paper has 17 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

Printed Arabic optical character segmentation

Image Processing: Algorithms and Systems • 2015
View 1 Excerpt

Fast classification of handwritten on-line Arabic characters

2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR) • 2014
View 1 Excerpt

Online Urdu Handwritten Character Recognition: Initial Half Form Single Stroke Characters

2014 12th International Conference on Frontiers of Information Technology • 2014
View 1 Excerpt

Prior segmentation of old Arabic manuscripts by separator word spotting

2014 6th International Conference of Soft Computing and Pattern Recognition (SoCPaR) • 2014
View 1 Excerpt

Real-Time Segmentation of On-Line Handwritten Arabic Script

2014 14th International Conference on Frontiers in Handwriting Recognition • 2014
View 2 Excerpts

References

Publications referenced by this paper.
Showing 1-10 of 26 references

Holistic word recognition for handwritten historical documents

First International Workshop on Document Image Analysis for Libraries, 2004. Proceedings. • 2004
View 4 Excerpts
Highly Influenced

Arabic Handwriting Recognition

View 2 Excerpts
Highly Influenced

Off-line handwritten arabic words segmentation based on structural features and connected components analysis

Moftah Elzobi, Ayoub Al-Hamadi, Zaher Al Aghbari
Gladimir Baranoski and Vaclav Skala, editors, WSCG ’ 2011 Communication Papers Proceedings., • 2011
View 1 Excerpt

A structural features based segmentation for off-line handwritten Arabic text

2010 5th International Symposium On I/V Communications and Mobile Network • 2010
View 1 Excerpt

Recognition of on-line arabic handwritten characters using structural features

Saeed Al-Haj Ahmad
In JOURNAL OF PATTERN RECOGNITION RESEARCH • 2010
View 2 Excerpts

Similar Papers

Loading similar papers…