Enhancement of Old Document Image after Restoration with Morphologycal Approach

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.