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Multi-Oriented Text Line Extraction from Handwritten Arabic Documents

Nazih Ouwayed 1 Abdel Belaïd 1
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LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, we present a novel approach for the multi-oriented text line extraction from handwritten Arabic documents. After image pre-processing, the local orientations are determined in small windows obtained by image paving. The orientation of the text within each window is estimated using the projection profile technique considering several projection angles. Then, the windows which close angles are gathered into largest zones. We use the Wigner-Ville Distribution (WVD) to estimate the global orientation of each zone. The WVD is more precise than the classical projection profile technique. Afterwards, the text lines are extracted in each zone basing on the follow-up of the baselines and the proximity of connected components. The experimental results prove the efficiency of the proposed scheme. It has been evaluated on 50 documents reaching an accuracy of about 97.6%.
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https://hal.inria.fr/inria-00347225
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Submitted on : Monday, December 15, 2008 - 10:58:07 AM
Last modification on : Friday, February 26, 2021 - 3:28:07 PM
Long-term archiving on: : Tuesday, June 8, 2010 - 5:10:40 PM

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Nazih Ouwayed, Abdel Belaïd. Multi-Oriented Text Line Extraction from Handwritten Arabic Documents. 8th IAPR International Workshop on Document Analysis Systems - DAS'08, Sep 2008, Nara, Japan. pp.339-346, ⟨10.1109/DAS.2008.14⟩. ⟨inria-00347225⟩

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