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2010
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Removing Rule-Lines from Binary Handwritten Arabic Document Images Using Directional Local Profile

8 years 1 months ago
Removing Rule-Lines from Binary Handwritten Arabic Document Images Using Directional Local Profile
In this paper, we present a novel approach for detecting and removing pre-printed rule-lines from binary handwritten Arabic document images. The proposed technique is based on a directional local profiling approach for the detection of the rule-line locations. Then a refined adaptive vertical run-length search is designed for removing the rule-line pixels without much damaging to the text. They are also tolerate to the variations in the rule-lines such as broken lines, orientation changes and variation in the thickness of the rule-lines. Analysis of experimental results on the DARPA MADCAT Arabic handwritten document data indicates that the method is robust and is capable of correctly removing rule-lines.
Zhixin Shi, Srirangaraj Setlur, Venu Govindaraju
Added 13 Feb 2011
Updated 13 Feb 2011
Type Journal
Year 2010
Where ICPR
Authors Zhixin Shi, Srirangaraj Setlur, Venu Govindaraju
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