persian printed document analysis and page segmentation

Authors

ali borumandnia

islamic azad university of south tehran jamshid shanbehzadeh

tarbiat moalem

abstract

this paper presents, a hybrid method, low-resolution and high-resolution, for persian page segmentation. in the low-resolution page segmentation, a pyramidal image structure is constructed for multiscale analysis and segments document image to a set of regions. by high-resolution page segmentation, by connected components analysis, each region is segmented to homogeneous regions and identifying them as texts, images, and tables/drawings. the proposed method was experiment with the persian documents. the result of these tests have shown that the proposed method provide more accurate and speed results.

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Journal title:
journal of computer and robotics

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