Persian Printed Document Analysis and Page Segmentation

Journal of Computer & Robotics

مقاله 6، دوره 1، شماره 1، اردیبهشت 2008   

نویسندگان

Ali Broumandnia¹؛ Jamshid Shanbehzadeh²

¹islamic azad university of south tehran

²tarbiat moalem

چکیده

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.

کلیدواژه‌ها

connected components؛ horizontal and vertical merging؛ Keywords : Page segmentation؛ pyramidal image structure