Abstract—An old document contains important information about culture, heritage and past story. Quality decreasing of old document images is caused by method and time storing failure, ink or paper quality, and digitizing process failure. Quality decreasing means the appearance some noise such as printed writing, widened ink, fading paper colour, some missing text and some noise caused of bad digitizing process. This study aims to do additional operation after restoration using morphologycal approach. Morphologycal approach is used to improve image quality after restoration process. Restoration use filtering algorithm. Evaluation technique for this study use statistic approach through calculation average percentage. Morphologycal give best result for old document images with noise such as widened ink and dirty background. But not good enough results for old document images with printed graffity from back side which appear in front side because input image contains italic character.
Index Terms—Morphologycal, old document image, noise restoration.
Ridha Sefina Samosir is with the Kalbis Institute and Information System Department, Pulomas, East of Jakarta, 13210 Indonesia (email: ridha.samosir@kalbis.ac.id).
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Cite:Ridha Sefina Samosir, "Enhancement of Old Document Image after Restoration with Morphologycal Approach," International Journal of Computer Theory and Engineering vol. 12, no. 1, pp. 8-14, 2020.
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
