General text line extraction approach based on locally orientation estimation

Nazih Ouwayed; Abdel Belaïd; François Auger

doi:10.1117/12.839518

18 January 2010 General text line extraction approach based on locally orientation estimation

Nazih Ouwayed, Abdel Belaïd, François Auger

Proceedings Volume 7534, Document Recognition and Retrieval XVII; 75340B (2010) https://doi.org/10.1117/12.839518
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

This paper presents a novel approach for the multi-oriented text line extraction from historical handwritten Arabic documents. Because of the multi-orientation of lines and their dispersion in the page, we use an image paving algorithm that can progressively and locally determine the lines. The paving algorithm is initialized with a small window and then its size is corrected by extension until enough lines and connected components were found. We use the Snake for line extraction. Once the paving is established, the orientation is determined using the Wigner-Ville distribution on the histogram projection profile. This local orientation is then enlarged to limit the orientation in the neighborhood. Afterwards, the text lines are extracted locally in each zone basing on the follow-up of the baselines and the proximity of connected components. Finally, the connected components that overlap and touch in adjacent lines are separated. The morphology analysis of the terminal letters of Arabic words is here considered. The proposed approach has been experimented on 100 documents reaching an separation accuracy of about 98.6%.

Citation Download Citation

Nazih Ouwayed, Abdel Belaïd, and François Auger "General text line extraction approach based on locally orientation estimation", Proc. SPIE 7534, Document Recognition and Retrieval XVII, 75340B (18 January 2010); https://doi.org/10.1117/12.839518

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