Review of Robust Document Image BINARIZATION Technique for Degraded Document Images
Rupinder Kaur and Naveen Goyal. Article: Review of Robust Document Image BINARIZATION Technique for Degraded Document Images. IJCA Proceedings on International Conference on Advancements in Engineering and Technology ICAET 2015(11):19-21, August 2015. Full text available. BibTeX
@article{key:article,
author = {Rupinder Kaur and Naveen Goyal},
title = {Article: Review of Robust Document Image BINARIZATION Technique for Degraded Document Images},
journal = {IJCA Proceedings on International Conference on Advancements in Engineering and Technology},
year = {2015},
volume = {ICAET 2015},
number = {11},
pages = {19-21},
month = {August},
note = {Full text available}
}
Abstract
Segmentation of badly degraded document images is done for discriminating a text from background images but it is a very challenging task. So, to make a robust document images, till now many binarization techniques are used. But in existing binarization techniques thresholding and filtering is unsolved problem. In the existing method, an Adaptive contrast map is first constructed then binarized and combined with cannny edge map to identify text stroke edge pixels, the documented is further segmented by local threshold . So the existing methods are divided into four main steps out of which last two steps used two different algorithms. In the proposed method, we can modify algorithms and test degraded document images then compare the result that come from previous paper results.
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