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A Fast and Efficient Thinning Algorithm for Binary Images

Journal of ICT Research and Applications (JICTRA) · Vol. 7 No. 3 (2013) · pp. 205–216

DOI
10.5614/itbj.ict.res.appl.2013.7.3.3
ISSN
2338-5499, 2337-5787
Published
2013-12-01
Publisher
DRI - ITB
Language
eng

Abstract

Skeletonization "also known as thinning" is an important step in the pre-processing phase in many of pattern recognition techniques. The output of Skeletonization process is the skeleton of the pattern in the images. Skeletonization is a crucial process for many applications such as OCR and writer identification. However, the improvements in this area are only a recent phenomenon and still require more researches. In this paper, a new skeletonization algorithm is proposed. This algorithm combines between parallel and sequential, which is categorized under an iterative approach. The suggested method is conducted by experiments of benchmark dataset for evaluation. The outcome is to obtain much better results compared to other thinning methods that are discussed in comparison part.

Collaboration network of the authors

7 authors · 16 co-authorship links · 1 across different organisations

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  • National University of Malaysia
  • Umm al-Qura University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Ashraf Abu-EinAffiliation unknown4
Waleed Abdel karim Abu-ainNational University of Malaysia4
Mohd Khaled Yousef ShambourUmm al-Qura University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">A Fast and Efficient Thinning Algorithm for Binary Images</dc:title>
	<dc:creator>Abu-Ain, Tarik</dc:creator>
	<dc:creator>Abdullah, Siti Norul Huda Sheikh</dc:creator>
	<dc:creator>Bataineh, Bilal</dc:creator>
	<dc:creator>Omar, Khairuddin</dc:creator>
	<dc:description xml:lang="en-US">Skeletonization "also known as thinning" is an important step in the pre-processing phase in many of pattern recognition techniques. The output of Skeletonization process is the skeleton of the pattern in the images. Skeletonization is a crucial process for many applications such as OCR and writer identification. However, the improvements in this area are only a recent phenomenon and still require more researches. In this paper, a new skeletonization algorithm is proposed. This algorithm combines between parallel and sequential, which is categorized under an iterative approach. The suggested method is conducted by experiments of benchmark dataset for evaluation. The outcome is to obtain much better results compared to other thinning methods that are discussed in comparison part.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2013-12-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/841</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2013.7.3.3</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 7 No. 3 (2013); 205-216</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/841/519</dc:relation>
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