A thresholding algorithm for text/background segmentation in degraded handwritten Jawi documents

Tengku Mohd Afendi Zulcaffle, Al Khalid Othman, Wan Azlan Wan Zainal Abidin, Shahrol Mohammaddan, Ade Syaheda Wani Marzuki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The old documents in Jawi script are being used widely for references. The hard copies of those scripts will deteriorate as time passes. Most of the previous works on Jawi documents focused on the character recognition and the accuracy of the algorithm was very much affected by noise. An effective preprocessing method is required to binarize degraded Jawi document. In this paper, a new technique to threshold degraded Jawi document is proposed. The results of the new algorithm were also evaluated and compared with several algorithms. The quality of the thresholding methods was assessed using visual inspection and mathematical evaluation. The results show that the new technique has outclassed other binarization algorithms.

Original languageEnglish
Title of host publicationProceedings - 2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010
Pages80-84
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 2nd International Conference on Advances in Computing, Control and Telecommunication Technologies, ACT 2010 - Jakarta, Indonesia
Duration: 2010 Dec 22010 Dec 3

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
Period10/12/210/12/3

Keywords

  • Degraded jawi documents
  • Document binarization
  • Image processing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering

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