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Herb Leaves Recognition using Gray Level Co-occurrence Matrix and Five Distance-based Similarity Measures

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 3 (2018)

DOI
10.11591/ijece.v8i3.pp1920-1932
ISSN
2088-8708, 2088-8708
Published
2018-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Herb medicinal products derived from plants have long been considered as an alternative option for treating various diseases. In this paper, the feature extraction method used is Gray Level Co-occurrence Matrix (GLCM), while for its recognition using the metric calculations of Chebyshev, Cityblock, Minkowski, Canberra, and Euclidean distances. The method of determining the GLCM Analysis based on the texture analysis resulting from the extraction of this feature is Angular Second Moment, Contrast, Inverse Different Moment, Entropy as well as its Correlation. The recognition system used 10 leaf test images with GLCM method and Canberra distance resulted in the highest accuracy of 92.00%. While the use of 20 and 30 test data resulted in a recognition rate of 50.67% and 60.00%.

Collaboration network of the authors

30 authors · 62 co-authorship links · 20 across different organisations

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

  • Diponegoro University
  • Universitas Ahmad Dahlan
  • Sultan Agung Islamic University
  • Sriwijaya University
  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Tole SutiknoUniversitas Ahmad Dahlan3
Imam Much Ibnu SubrotoSultan Agung Islamic University3
Oky Dwi NurhayatiDiponegoro University2
Catur Edi WidodoDiponegoro University2
Teguh Budi PrakosoDiponegoro University2
Irawan D SukawatiAffiliation unknown2
Darjat DarjatAffiliation unknown2
Lina HandayaniUniversitas Ahmad Dahlan2
Deris StiawanSriwijaya University2
Teguh PrakosoAffiliation unknown2
Yusraka Dimas Al ImanDiponegoro University1
Ucky Pradestha NovettralitaDiponegoro University1
Solichudin SolichudinDiponegoro University1
Aris TriwiyatnoDiponegoro University1
Rahmat GernowoDiponegoro University1
Arief ArfriandiAffiliation unknown1
Nouvel Izza FardanaAffiliation unknown1
Dinar Mutiara Kusumo NugraheniDiponegoro University1
Ardian PamungkasAffiliation unknown1
Arie IswantiAffiliation unknown1
Martha Irene KartasuryaAffiliation unknown1
Nani PurwatiAffiliation unknown1
Sabri AlimiAffiliation unknown1
Sapto Budi PriyatnoAffiliation unknown1
Mochammad FactaDiponegoro University1
Arief MarwantoSultan Agung Islamic University1
Gunawan GunawanUniversitas Halu Oleo1

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.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Oct 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
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