ASM Based Synthesis of Handwritten Arabic Text Pages
Identifieur interne : 000057 ( Main/Exploration ); précédent : 000056; suivant : 000058ASM Based Synthesis of Handwritten Arabic Text Pages
Auteurs : Laslo Dinges [Allemagne] ; Ayoub Al-Hamadi [Allemagne] ; Moftah Elzobi [Allemagne] ; Sherif El-Etriby [Arabie saoudite, Égypte] ; Ahmed Ghoneim [Arabie saoudite, Égypte]Source :
- The Scientific World Journal [ 2356-6140 ] ; 2015.
Abstract
Document analysis tasks, as text recognition, word spotting, or segmentation, are highly dependent on comprehensive and suitable databases for training and validation. However their generation is expensive in sense of labor and time. As a matter of fact, there is a lack of such databases, which complicates research and development. This is especially true for the case of Arabic handwriting recognition, that involves different preprocessing, segmentation, and recognition methods, which have individual demands on samples and ground truth. To bypass this problem, we present an efficient system that automatically turns Arabic Unicode text into synthetic images of handwritten documents and detailed ground truth. Active Shape Models (ASMs) based on 28046 online samples were used for character synthesis and statistical properties were extracted from the IESK-arDB database to simulate baselines and word slant or skew. In the synthesis step ASM based representations are composed to words and text pages, smoothed by B-Spline interpolation and rendered considering writing speed and pen characteristics. Finally, we use the synthetic data to validate a segmentation method. An experimental comparison with the IESK-arDB database encourages to train and test document analysis related methods on synthetic samples, whenever no sufficient natural ground truthed data is available.
Url:
DOI: 10.1155/2015/323575
PubMed: 26295059
PubMed Central: 4534626
Affiliations:
Links toward previous steps (curation, corpus...)
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Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>Document analysis tasks, as text recognition, word spotting, or segmentation, are highly dependent on comprehensive and suitable databases for training and validation. However their generation is expensive in sense of labor and time. As a matter of fact, there is a lack of such databases, which complicates research and development. This is especially true for the case of Arabic handwriting recognition, that involves different preprocessing, segmentation, and recognition methods, which have individual demands on samples and ground truth. To bypass this problem, we present an efficient system that automatically turns Arabic Unicode text into synthetic images of handwritten documents and detailed ground truth. Active Shape Models (ASMs) based on 28046 online samples were used for character synthesis and statistical properties were extracted from the IESK-arDB database to simulate baselines and word slant or skew. In the synthesis step ASM based representations are composed to words and text pages, smoothed by B-Spline interpolation and rendered considering writing speed and pen characteristics. Finally, we use the synthetic data to validate a segmentation method. An experimental comparison with the IESK-arDB database encourages to train and test document analysis related methods on synthetic samples, whenever no sufficient natural ground truthed data is available.</p>
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<author><name sortKey="Ding, X" uniqKey="Ding X">X. Ding</name>
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<author><name sortKey="Wang, H" uniqKey="Wang H">H. Wang</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations><list><country><li>Allemagne</li>
<li>Arabie saoudite</li>
<li>Égypte</li>
</country>
</list>
<tree><country name="Allemagne"><noRegion><name sortKey="Dinges, Laslo" sort="Dinges, Laslo" uniqKey="Dinges L" first="Laslo" last="Dinges">Laslo Dinges</name>
</noRegion>
<name sortKey="Al Hamadi, Ayoub" sort="Al Hamadi, Ayoub" uniqKey="Al Hamadi A" first="Ayoub" last="Al-Hamadi">Ayoub Al-Hamadi</name>
<name sortKey="Elzobi, Moftah" sort="Elzobi, Moftah" uniqKey="Elzobi M" first="Moftah" last="Elzobi">Moftah Elzobi</name>
</country>
<country name="Arabie saoudite"><noRegion><name sortKey="El Etriby, Sherif" sort="El Etriby, Sherif" uniqKey="El Etriby S" first="Sherif" last="El-Etriby">Sherif El-Etriby</name>
</noRegion>
<name sortKey="Ghoneim, Ahmed" sort="Ghoneim, Ahmed" uniqKey="Ghoneim A" first="Ahmed" last="Ghoneim">Ahmed Ghoneim</name>
</country>
<country name="Égypte"><noRegion><name sortKey="El Etriby, Sherif" sort="El Etriby, Sherif" uniqKey="El Etriby S" first="Sherif" last="El-Etriby">Sherif El-Etriby</name>
</noRegion>
<name sortKey="Ghoneim, Ahmed" sort="Ghoneim, Ahmed" uniqKey="Ghoneim A" first="Ahmed" last="Ghoneim">Ahmed Ghoneim</name>
</country>
</tree>
</affiliations>
</record>
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