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Issue Issue 1
Broumandnia, A., Shanbehzadeh, J. (2010). Persian Printed Document Analysis and Page Segmentation. Journal of Computer & Robotics, 1(1), -.
Ali Broumandnia; Jamshid Shanbehzadeh. "Persian Printed Document Analysis and Page Segmentation". Journal of Computer & Robotics, 1, 1, 2010, -.
Broumandnia, A., Shanbehzadeh, J. (2010). 'Persian Printed Document Analysis and Page Segmentation', Journal of Computer & Robotics, 1(1), pp. -.
Broumandnia, A., Shanbehzadeh, J. Persian Printed Document Analysis and Page Segmentation. Journal of Computer & Robotics, 2010; 1(1): -.

Persian Printed Document Analysis and Page Segmentation

Article 6, Volume 1, Issue 1, Winter and Spring 2008  XML PDF (1.48 MB)
Authors
Ali Broumandnia1; Jamshid Shanbehzadeh2
1islamic azad university of south tehran
2tarbiat moalem
Receive Date: 25 February 2010,  Accept Date: 25 February 2010 
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.
Keywords
connected components; horizontal and vertical merging; Keywords : Page segmentation; pyramidal image structure
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