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Jurnal SINTA 2

CHARACTER IMAGE SEGMENTATION OF JAVANESE SCRIPT USING CONNECTED COMPONENT METHOD

Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 12 No. 2 (2019) · pp. 67–74

DOI
10.21609/jiki.v12i2.677
ISSN
2502-9274, 2088-7051
Published
2019-07-08
Publisher
Faculty of Computer Science - Universitas Indonesia
Language
eng

Abstract

Automation of Javanese script translation is needed to make it easier for people to understand the meaning of ancient Javanese script. By using Javanese script image as input, the translation system generally consists of character segmentation, character recognition, and combining the recognized characters as a meaningful word. The segmentation which obtains region of interest of each character, is an important process in the translation system. In the previous research, segmentation using projection profile method can separate each character well. The method can overcome characters overlapping, but it still produces truncated characters. In this study, we proposed a new segmentation to reduce the truncated character. The first step of the proposed method is pre-processing that consists of converting input into binary image and cleaning noises. The next step is to determine the connected component labels, which further perform as candidate of characters. Some of the candidates are still represented by more than one labels, so that we need a process to merge the connected component labels that have centroid distance less than threshold. We evaluate the proposed method using Intersection over Union (IoU). The evaluation shows the best accuracy 93,26%.

Keywords

Collaboration network of the authors

40 authors · 75 co-authorship links · 3 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Institut Teknologi Sepuluh Nopember
  • Islamic University of Indonesia
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Chastine FatichahInstitut Teknologi Sepuluh Nopember9
Anny YuniartiInstitut Teknologi Sepuluh Nopember2
Imam KuswardayanInstitut Teknologi Sepuluh Nopember2
Handayani TjandrasaInstitut Teknologi Sepuluh Nopember2
Isye ArieshantiInstitut Teknologi Sepuluh Nopember2
Syavira Tiara ZulkarnainInstitut Teknologi Sepuluh Nopember2
Diana PurwitasariInstitut Teknologi Sepuluh Nopember2
Jayanti Yusmah SariInstitut Teknologi Sepuluh Nopember1
Mutmainnah MuchtarInstitut Teknologi Sepuluh Nopember1
Darlis HerumurtiInstitut Teknologi Sepuluh Nopember1
Qonita Luthfia SutinoAffiliation unknown1
Bernardinus ArisandiAffiliation unknown1
Arya Yudhi WijayaInstitut Teknologi Sepuluh Nopember1
Lim Yohanes StefanusAffiliation unknown1
Faida RoyaniAffiliation unknown1
Tri Anggraeny FettyAffiliation unknown1
Lalu Muhammad DzakiAffiliation unknown1
Dewi RosidaAffiliation unknown1
Rosdiana RahmawatiAffiliation unknown1
Rizky Yuniar HakkunAffiliation unknown1
Darlis Heru MurtiInstitut Teknologi Sepuluh Nopember1
Daru Jani NanjayaAffiliation unknown1
Dody Rachmat WicaksonoAffiliation unknown1
Nunut Priyo JatmikoAffiliation unknown1
Kavin AndiAffiliation unknown1
Sarwosri SarwosriInstitut Teknologi Sepuluh Nopember1
Myke Noor ArianiAffiliation unknown1
Ricky Eka PutraAffiliation unknown1
Arrie KurniawardhaniIslamic University of Indonesia1
Fitri BimantoroAffiliation unknown1
Mirza Galih KurniawanInstitut Teknologi Sepuluh Nopember1
Wijayanti Nurul KhotimahInstitut Teknologi Sepuluh Nopember1
Ridho Rahman HariadiInstitut Teknologi Sepuluh Nopember1
Risal Andika SaputraInstitut Teknologi Sepuluh Nopember1
Dini Adni NavastaraInstitut Teknologi Sepuluh Nopember1
Ardhon RakhmadiInstitut Teknologi Sepuluh Nopember1
Misbahul FuadInstitut Teknologi Sepuluh Nopember1
Dimas Fanny Hebrasianto PermadiInstitut Teknologi Sepuluh Nopember1

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://jiki.cs.ui.ac.id/index.php/jiki/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">CHARACTER IMAGE SEGMENTATION OF JAVANESE SCRIPT USING CONNECTED COMPONENT METHOD</dc:title>
	<dc:creator>Sugianela, Yuna</dc:creator>
	<dc:creator>Suciati, Nanik</dc:creator>
	<dc:subject xml:lang="en-US">Javanese script</dc:subject>
	<dc:subject xml:lang="en-US">image</dc:subject>
	<dc:subject xml:lang="en-US">character</dc:subject>
	<dc:subject xml:lang="en-US">segmentation</dc:subject>
	<dc:subject xml:lang="en-US">component</dc:subject>
	<dc:description xml:lang="en-US">Automation of Javanese script translation is needed to make it easier for people to understand the meaning of ancient Javanese script. By using Javanese script image as input, the translation system generally consists of character segmentation, character recognition, and combining the recognized characters as a meaningful word. The segmentation which obtains region of interest of each character, is an important process in the translation system. In the previous research, segmentation using projection profile method can separate each character well. The method can overcome characters overlapping, but it still produces truncated characters. In this study, we proposed a new segmentation to reduce the truncated character. The first step of the proposed method is pre-processing that consists of converting input into binary image and cleaning noises. The next step is to determine the connected component labels, which further perform as candidate of characters. Some of the candidates are still represented by more than one labels, so that we need a process to merge the connected component labels that have centroid distance less than threshold. We evaluate the proposed method using Intersection over Union (IoU). The evaluation shows the best accuracy 93,26%.</dc:description>
	<dc:publisher xml:lang="en-US">Faculty of Computer Science  - Universitas Indonesia</dc:publisher>
	<dc:date>2019-07-08</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/677</dc:identifier>
	<dc:identifier>10.21609/jiki.v12i2.677</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal Ilmu Komputer dan Informasi; Vol. 12 No. 2 (2019): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information); 67-74</dc:source>
	<dc:source>2502-9274</dc:source>
	<dc:source>2088-7051</dc:source>
	<dc:source>10.21609/jiki.v12i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://jiki.cs.ui.ac.id/index.php/jiki/article/view/677/413</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2019 Jurnal Ilmu Komputer dan Informasi</dc:rights>
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