Persian Printed Document Analysis and Page Segmentation
Publish place: Journal of Computer and Robotics، Vol: 1، Issue: 1
Publish Year: 1386
Type: Journal paper
Language: English
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Document National Code:
JR_JCR-1-1_006
Index date: 13 January 2018
Persian Printed Document Analysis and Page Segmentation 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.
Persian Printed Document Analysis and Page Segmentation Keywords:
Page segmentation , pyramidal image structure , connected components , horizontal and vertical merging
Persian Printed Document Analysis and Page Segmentation authors
Ali Broumandnia
Department of Computer & IT, Islamic Azad University-South Tehran Branch, Tehran, Iran
Jamshid Shanbehzadeh
Department of Computer, Tarbiat Moalem University, Iran