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All Journal Jurnal Teknologi dan Sistem Komputer Vidyottama Sanatana: International Journal of Hindu Science and Religious Studies Jurnal Infomedia Jurnal Nawala Visual JGGAG (Journal of Games, Game Art, and Gamification)
I Gede Andika
STMIK STIKOM Indonesia
Religion Arts Humanities Computer Science & IT Electrical & Electronics Engineering Other

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Journal : Jurnal Teknologi dan Sistem Komputer

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Klasifikasi citra HSV aksara kuno pada prasasti tembaga Kintamani menggunakan GLRCM dan SVM Christina Purnama Yanti; I Gede Andika
Jurnal Teknologi dan Sistem Komputer Volume 8, Issue 2, Year 2020 (April 2020)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (179.199 KB) | DOI: 10.14710/jtsiskom.8.2.2020.94-99

Abstract

The problem of inscription physical damage as one of the historical heritages can be overcome using an image processing technique. The purpose of this study is to design a segmentation application for ancient scripts on inscriptions to recognize the character patterns on the inscriptions in digital form. The preprocessing was carried out to convert images from RGB to HSV. The application used the gray level run length matrix (GLRLM) to extract texture features and the support vector machine (SVM) method to classify the results. The inscription image segmentation was carried out through the pattern detection process using the sliding window method. The application obtained 88.32 % of accuracy, 0.87 of precision, and 0.94 of sensitivity.
Co-Authors Anak Agung Gede Ekayana Christina Purnama Yanti Daniel Eka Saputra Dwi Novitasari Gede Indrawan I Gede Bara Yuda Gautama I Kadek Rudi Ariastawan I Ketut Paramarta Kadek Ayu Ariningsih