RECOVERING OLD DOCUMENT IMAGE BY USING HYBRID BINRAZATION TECHNIQUE.
Journal Title: International Journal of Advanced Research (IJAR) - Year 2018, Vol 6, Issue 10
Abstract
The ancient document that sored in museum and library required recovering of its contain, since the paper loss it?s shiny and bright, year after year because a lots of factors. So that, the necessity of keeping the old document as the same as the new one is needed. However, keeping the old document required huge amount of money every year and sometimes, contains of old document can?t recover. Most of library tried to remake new version of document by trying to copy that image in new paper. However, some of document required treatment before copying because some letter may not recognize. So to overcome this problem a program is used in this paper to enhancement to recognize the letter in old document and make the letter easy to read in order to copy it. In this paper, a hybrid Binarization algorithm used to enhance the old document. The algorithm will make some preprocessing on old document image. The preprocessing consists of four section the first one is smooth the image of old document to be ready for entering the algorithm which give good enhanced the algorithm to detect the letters. The algorithm used local and global thresholding to detecting the letters. Also, anther operation applied on the image to remove the noise from the enhanced image of the old document image.
Authors and Affiliations
Rana mohamed H. Zaki, Teaba Wala Aldeen Khairi.
Keywords
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- EP ID EP409991
- DOI 10.21474/IJAR01/7902
- Views 87
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