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Combining global and local threshold to binarize document images

Elise Gabarra Salvatore Tabbone 1
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : In this paper, a new approach to binarize grey-level document images is proposed. The method combine a global and a local approaches. First, we provide the edges of the image, and next, from the edges we make a quadtree decomposition of the image. On each area of the image, a local threshold is computed and applied to all the pixels belonging to the region under consideration.
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https://hal.inria.fr/inria-00000642
Contributor : Salvatore Tabbone <>
Submitted on : Thursday, November 10, 2005 - 3:40:18 PM
Last modification on : Friday, February 26, 2021 - 3:28:06 PM

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Elise Gabarra, Salvatore Tabbone. Combining global and local threshold to binarize document images. Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA 2005, Jun 2005, Estoril, Portugal. pp.371-378, ⟨10.1007/11492542_46⟩. ⟨inria-00000642⟩

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