Multi-Oriented Text Line Extraction from Handwritten Arabic Documents - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2008

Multi-Oriented Text Line Extraction from Handwritten Arabic Documents

Nazih Ouwayed
  • Function : Author
  • PersonId : 760684
  • IdRef : 151450021
Abdel Belaïd
  • Function : Author

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%.
Fichier principal
Vignette du fichier
Nazih-das.pdf (488.36 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inria-00347225 , version 1 (15-12-2008)

Identifiers

Cite

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⟩
85 View
319 Download

Altmetric

Share

Gmail Facebook X LinkedIn More