Image enhancement and image restoration for old document image using genetic algorithm

Hilda Deborah, Aniati Murni Arymurthy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Citations (Scopus)

Abstract

This paper presents the use of genetic algorithm in old document image enhancement and restoration. The term of 'old document' is document coming from hundreds years ago. The purpose of the study is to preserve the information contained in old documents into a digital form, because the process to rescue the old images using physical approach is too slow. The main contribution of this study is in the development of its fitness function to select new population and the best new enhanced image. The experimental results also show the influence of using the median filter in the image preprocessing. The results show relatively effective image enhancement (92.9% data get more than 90% success rate), and in general the effect of using the median filter preprocessing is not good that makes blurring effect to the images (only 59.5% data get success rate above 90%).

Original languageEnglish
Title of host publicationProceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010
Pages108-111
Number of pages4
DOIs
Publication statusPublished - 1 Dec 2010
Event2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 - Jakarta, Indonesia
Duration: 2 Dec 20103 Dec 2010

Publication series

NameProceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010

Conference

Conference2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010
CountryIndonesia
CityJakarta
Period2/12/103/12/10

Keywords

  • Genetic algorithm
  • Image enhancement
  • Image restoration
  • Old document image

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