Offline Automatic Segmentation based Recognition of Handwritten Arabic Words

  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},
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
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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Holistic word recognition for handwritten historical documents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
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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
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